LO930 Logistics Information System (LIS) - Reporting

© SAP AG LO930 Preface-1

SAP AG 1999

/2��/RJLVWLFV�,QIRUPDWLRQ�6\VWHP��/,6��5HSRUWLQJ

/2��/2��/RJLVWLFV�,QIRUPDWLRQ6\VWHP��/,6��5HSRUWLQJ/RJLVWLFV�,QIRUPDWLRQ6\VWHP��/,6��5HSRUWLQJ SAP AG

n System R/3

n Release 4.6C

n April 2001

n Material number 50046710


SAP AG 2001

&RS\ULJKW��6$3�$*��$OO�ULJKWV�UHVHUYHG�1R�SDUW�RI�WKLV�SXEOLFDWLRQ�PD\�EH�UHSURGXFHGRU�WUDQVPLWWHG�LQDQ\�IRUP�RU�IRU�DQ\�SXUSRVH�ZLWKRXW�WKH�H[SUHVV�SHUPLVVLRQ�RI6$3�$*��7KH�LQIRUPDWLRQ�FRQWDLQHG�KHUHLQ�PD\�EH�FKDQJHGZLWKRXW�SULRU�QRWLFH�$OO�ULJKWV�UHVHUYHG�

&RS\ULJKW

7UDGHPDUNV�n Some software products marketed by SAP AG and its distributors contain proprietary software

components of other software vendors.

n Microsoft®, WINDOWS®, NT®, EXCEL®, Word®, PowerPoint® and SQL Server® are registeredtrademarks of Microsoft Corporation.

n IBM®, DB2®, OS/2®, DB2/6000®, Parallel Sysplex®, MVS/ESA®, RS/6000®, AIX®, S/390®,AS/400®, OS/390®, and OS/400® are registered trademarks of IBM Corporation.

n ORACLE® is a registered trademark of ORACLE Corporation.

n INFORMIX®-OnLine for SAP and INFORMIX® Dynamic ServerTM are registered trademarks of Informix Software Incorporated.

n UNIX®, X/Open®, OSF/1®, and Motif® are registered trademarks of the Open Group.

n HTML, DHTML, XML, XHTML are trademarks or registered trademarks of W3C®, World WideWeb Consortium, Massachusetts Institute of Technology.

n JAVA® is a registered trademark of Sun Microsystems, Inc.

n JAVASCRIPT® is a registered trademark of Sun Microsystems, Inc., used under license fortechnology invented and implemented by Netscape.

n SAP, SAP Logo, R/2, RIVA, R/3, ABAP, SAP ArchiveLink, SAP Business Workflow, WebFlow, SAP EarlyWatch, BAPI, SAPPHIRE, Management Cockpit, mySAP.com Logo and mySAP.com are trademarks or registered trademarks of SAP AG in Germany and in several other countries allover the world. All other products mentioned are trademarks or registered trademarks of theirrespective companies.


SAP AG 1999

,QIRUPDWLRQ�6\VWHPV

Processes in Salesand Distribution

��5 days

Logistics InformationSystem (LIS)Reporting

��2 days

/HYHO�� /HYHO��

Processes inProcurement

�� 5 days

ManufacturingPlanning & Executionfor Discrete & Repetitive

��5 days

Executive InformationSystem (EIS) 2 -Setting up the System

�� 2 days

Advanced Functionsof the Report Writer

��3 days

Advanced LISConfiguration

��2 days

Technical Aspects inLIS with Special Focuson PURCHIS/INVCO

��2 days

Technical Aspects inLIS with Special Focuson PPIS

�� 2 days

Technical Aspects inLIS with Special Focuson SIS

��2 days

Executive InformationSystem (EIS) 1 -Reporting

��2 days

Basics of the ReportPainter/Report Writer

��2 days

Flexible Planning

��2 days


SAP AG 1999

&RXUVH�3UHUHTXLVLWHV

l 5HFRPPHQGHG�n SAP20 / SAP R/3 Overview

l (VVHQWLDO�Good knowledge of contents of:

n Materials Management: LO020 - Procurement Processesor

n Sales and Distribution: LO150 - Processes in Sales and Distributionor

n Production Planning: LO050/LO060/LO070 - Manufacturing


SAP AG 1999

7DUJHW�*URXS

l 3DUWLFLSDQWV�� 3URMHFW�WHDP�PHPEHUV�UHVSRQVLEOH�IRU�/,6�UHSRUWLQJ

l 'XUDWLRQ��GD\V

1RWHV�WR�WKH�XVHUn The training materials are not teach-yourself programs. They complement the course instructor’s

explanations. Your material includes space for writing down this additional information.

n There may not be enough time during the course to complete all of the exercises. The exercisesrepresent additional examples of the topics covered in the course. You can work through theseexamples after the course to consolidate what you have learned.

© SAP AG LO930 1-1

SAP AG 1999

&RXUVH�2YHUYLHZ

l &RXUVH�*RDOVl &RXUVH�2EMHFWLYHVl &RXUVH�&RQWHQWl &RXUVH�2YHUYLHZ�'LDJUDPl 0DLQ�%XVLQHVV�6FHQDULR

&RQWHQWV�

© SAP AG LO930 1-2

SAP AG 1999

&RXUVH�*RDOV

7KLV�FRXUVH�ZLOO�SUHSDUH�\RX�WR�l 8QGHUVWDQG�WKH�EDVLF�SULQFLSOHV�RI�/,6�DQG�JDLQ

SUDFWLFDO�H[SHULHQFH�RI�ZRUNLQJ�ZLWK�LW�l 8VH�WKH�RQOLQH�GRFXPHQWDWLRQ�WR�UHVROYH

LPSOHPHQWDWLRQ�DQG�XVDJH�LVVXHV�

© SAP AG LO930 1-3

SAP AG 1999

&RXUVH�2EMHFWLYHV

$W�WKH�FRQFOXVLRQ�RI�WKLV�FRXUVH��\RX�ZLOO�EH�DEOH�WR�

l 8VH�WKH�UHSRUWLQJ�IXQFWLRQV�DQG�WRROV�DYDLODEOH�LQ/,6�

l 8VH�WKH�JHQHUDO�/,6�IXQFWLRQV�l 'LVSOD\��H[HFXWH��DQG�QDYLJDWH�WKURXJK�WKH

VWDQGDUG�DQDO\VLV�OLVWV�l 8VH�IOH[LEOH�DQDO\VHV�DV�DQ�DGGLWLRQDO�PHDQV�RI

DFTXLULQJ�LQIRUPDWLRQ�LQ�/,6�l 8VH�WKH�RQOLQH�GRFXPHQWDWLRQ�WR�DQVZHU

TXHVWLRQV�

© SAP AG LO930 1-4

SAP AG 1999

&RXUVH�&RQWHQW

Unit 1

Unit 2

Unit 3

Unit 4

Unit 5

Unit 6

Unit 7

Unit 8

3UHIDFH

&RXUVH�2YHUYLHZ'DWD�:DUHKRXVH�&RQFHSWV6WDQGDUG�$QDO\VHV�LQ�/,6$GYDQFHG�6WDQGDUG�$QDO\VHV(DUO\�:DUQLQJ�6\VWHP)OH[LEOH�$QDO\VHV�LQ�/,6/,6�(QYLURQPHQW6XPPDU\

© SAP AG LO930 1-5

SAP AG 1999

)OH[LEOH�DQDO\VLV

6WDQGDUG�DQDO\VLV6WDQGDUG�DQDO\VLV

$GYDQFHGDQDO\VLV�IXQFWLRQV


•��

• �� • �!��"�#�! ��•�$�� #�� %��&�' ��(�

• �)� ��#�� *�� • ��+��+�#��

(:6��(DUO\�:DUQLQJ�6\VWHP

,�-./.0102!3 �4��(��

5 �� 76

&RXUVH�2YHUYLHZ�'LDJUDP

SAP AG

© SAP AG LO930 1-6

SAP AG 1999

0DLQ�%XVLQHVV�6FHQDULR

l 0DQDJHPHQW�RIWHQ�UHTXHVWV�HYDOXDWLRQ�UHSRUWV�LQRUGHU�WR�DQDO\]H�SURFXUHPHQW�DQG�SXUFKDVLQJSDWWHUQV�DQG�UHYLHZ�WKH�YROXPH�RI�EXVLQHVVFRQGXFWHG�ZLWK�HDFK�FXVWRPHU�RU�YHQGRU�

l $V�D�PHPEHU�RI�WKH�SURMHFW�WHDP��\RX�DUHUHVSRQVLEOH�IRU�HQVXULQJ�WKDW�WKH�5��6\VWHP�FDQUHVSRQG�TXLFNO\�DQG�DFFXUDWHO\�WR�WKHVH�UHTXHVWV�

© SAP AG LO930 2-1

SAP AG 1999

'DWD�:DUHKRXVH�&RQFHSWV

l %DVLF�FRQFHSWV�DQG�WHUPLQRORJ\&RQWHQWV�

© SAP AG LO930 2-2

SAP AG 1999

'DWD�:DUHKRXVH�&RQFHSWV��8QLW�2EMHFWLYHV

l ([SODLQ�KRZ�PRGHUQ�GDWD�ZDUHKRXVH�SURGXFWVHQVXUH�DYDLODELOLW\�RI�LQIRUPDWLRQ

l 'HILQH�6$3�WHUPLQRORJ\�DQG�GDWD�ZDUHKRXVHFRQFHSWV

l ,GHQWLI\�WKH�GLIIHUHQFH�EHWZHHQ�GRFXPHQW�LQGHSHQGHQW�LQIRUPDWLRQ�DQG�GRFXPHQW�VSHFLILFDSSOLFDWLRQ�GDWD

$W�WKH�FRQFOXVLRQ�RI�WKLV�XQLW��\RX�ZLOO�EH�DEOH�WR�

© SAP AG LO930 2-3

SAP AG 1999

)OH[LEOH�DQDO\VLV




•��

• �� • �!��"�#�! ��•�$�� #�� %��&�' ��(�

• �)� ��#�� *�� • ��+��+�#��


,�-./.0102!3 �4��(��5 �� 76

'DWD�:DUHKRXVH�&RQFHSWV��2YHUYLHZ

n This unit explains the data warehouse concept in LIS.

n The individual levels of this concept are explained in detail - the different information systems of theLogistics Data Warehouse are introduced and the role of this concept in the SAP Open InformationWarehouse will be defined.

© SAP AG LO930 2-4

SAP AG 1999

'DWD�:DUHKRXVH�&RQFHSW��%XVLQHVV�6FHQDULR

l <RXU�RUJDQL]DWLRQ�LV�LPSOHPHQWLQJ�DOO�5��/RJLVWLFVPRGXOHV��7R�HQVXUH�FRQVLVWHQW�UHSRUWLQJ�DFURVVWKH�HQWHUSULVH��PDQDJHPHQW�KDV�UHTXHVWHG�WKDW�WKHVDPH�VHW�RI�GDWD�ZDUHKRXVH�UHSRUWLQJ�WRROV�EHXVHG�IRU�DOO�ORJLVWLFV�DQDO\VHV�

© SAP AG LO930 2-5

SAP AG 1999

'DWD�:DUHKRXVH�&RQFHSWV

2QOLQH7UDQVDFWLRQ3URFHVVLQJ

DATAWARE-HOUSE

OLTP

OLAP

$QDO\VLV�WRROV

2QOLQH$QDO\WLFDO

3URFHVVLQJ

$JJUHJDWHG�LQIRUPDWLRQ

,QWHJUDWHG�DSSOLFDWLRQ�PRGXOHV

6DOHV�DQG�'LVWULEXWLRQ )LQDQFH

3URGXFWLRQ3ODQQLQJ

0DWHULDOV0DQDJHPHQW

([WHUQDO�'DWD

n State-of-the-art data warehouse concepts use a three-tier model as the starting point for implementingefficient, integrated information systems.

n The three tiers subdivide the flow of data, from data acquisition in the operative systems rightthrough to the presentation of information at the top level.

n Integrated, operative applications in OLTP systems form the basis for obtaining information. Theyare filled with large quantities of master and process data. The information systems present thisinformation in a compact and structured form.

n This is achieved by compressing the application data to obtain more compact, informative keyfigures and then managing it separately in the database tables of a data warehouse.

n The statistical data obtained in this way can then be analyzed using a variety of analysis tools whichare available in the third tier.

n These tools offer a wide range of methods that allow statistical data to be analyzed and presented inan efficient and impressive way. They can therefore make a huge contribution towards reducing thetime needed to make decisions in modern management.

© SAP AG LO930 2-6

SAP AG 1999

7KH�/RJLVWLFV�'DWD�:DUHKRXVH�LQ�WKH�6$3�6\VWHP

8:9 ; < = > = ?@ > ACB

,QIR�6WUXFWXUHV

%XVLQHVV,QWHOOLJHQFH

6$3�5�� 6$3�5��

6��6��

/,6�8SGDWLQJ

6��6��6��6��6��6��

2QOLQH7UDQVDFWLRQ3URFHVVLQJ

DATAWARE-HOUSE

OLTP

OLAP 2QOLQH$QDO\WLFDO

3URFHVVLQJ

n The Logistics Information System is a component of the SAP Open Information Warehouse andprovides information from the areas of Sales and Distribution, Purchasing, Production, WarehouseManagement, Plant Maintenance, and Quality Management.

n In LIS, important information is stored in individual databases, which are maintained in parallel tothe operational systems. The primary objective here is to transform the detailed data in theoperational systems into key figures with a high predictive value.

n Further information systems are available for the Financial Accounting, Controlling, and HumanResources modules.

© SAP AG LO930 2-7

SAP AG 1999

2/732/732/73

DFEDFE D�GD�GD�H�IJFJLKD�H#IJFJLKD�H�IH�M�ND�H�IH�M�N

6$3�5�� 6$3�5��OQPOQPR(SR(S

T$TT�T U�UU�U

l 2/73�V\VWHPVV Mapping of businessprocessesV Management of masterand process data

1RQ�6$3V\VWHPV

8:9 ; < = > = ?@ > AWB

/,6�8SGDWLQJ

2QOLQH�7UDQVDFWLRQ�3URFHVVLQJ

l /,6�XSGDWLQJ�IRU�SURFHVVGDWD�SURFHVVLQJV ExtractionV AggregationV Calculation of statistics

n Modules from both the SAP R/2 and the SAP R/3 Systems, as well as from non-SAP systems, can beclassed as integrated application modules at OLTP level.

n The huge volumes of data contained in these modules make a detailed overview of businessprocesses difficult to achieve.

n The R/3 Logistics Information Systems are anchored in the R/3 OLTP applications via specialupdating modules. LIS updating, together with data aggregation, constitutes one of the chiefprinciples of the overall LIS concept.

n Update programs reduce the process data down to its statistically-relevant components, that is, theycumulate relevant data in LIS at regular intervals in terms of objects, and then use formulas andconditions to calculate informative key figures.

n Statistical data can be updated in LIS at the same time as the process data is being processed in theapplication modules. This guarantees that LIS information is consistent with operational data. It isequally possible, however, for updating to take place asynchronously, which reduces the system loadin the application systems.

n You can also link R/3 LIS components to external OLTP systems.

n This allows, for example, LIS update programs of an R/3 System to be supplied with process datafrom an SAP R/2 application, which means that LIS can become an R/3 OLAP application for anR/2 OLTP System.

© SAP AG LO930 2-8

SAP AG 1999

/RJLVWLFV�'DWD�:DUHKRXVH

,QIR�VWUXFWXUH��3XUFKDVLQJ,QIR�VWUXFWXUH��3XUFKDVLQJ&KDUDFWHULVWLFVPlantMaterialVendor...

3HULRG�XQLW .H\�ILJXUHMonthWeekDay...

Order quantityOrder valueNo. of deliveriesLast purchase order...

8W9 ; < = > = ?@ > ACB /RJLVWLFV�'DWD�:DUHKRXVHl ,QIR�VWUXFWXUHVX 7UDQVSDUHQWX $JJUHJDWLRQ�FULWHULDY

CharacteristicsYPeriod unitX 3HUIRUPDQFH�PHDVXUHVYQuantitative keyfiguresYQualitative keyfiguresX 'LYHUVH�LQIR�VWUXFWXUHV

DYDLODEOH�LQ�VWDQGDUGV\VWHPX (DV\�WR�XVH�WRROVIRU�FUHDWLQJ�VHOI�GHILQHGLQIR�VWUXFWXUHV

6HOI�'HILQHG�,QIR�6WUXFWXUHV6HOI�'HILQHG�,QIR�6WUXFWXUHV

)DFWRU\�0JPW�)DFWRU\�0JPW� 3URGXFWLRQ�6DOHV3URGXFWLRQ�6DOHV

3XUFKDVLQJ3XUFKDVLQJ 3URGXFWLRQ3URGXFWLRQ6'6'

6WDQGDUG�,QIR�6WUXFWXUHV6WDQGDUG�,QIR�6WUXFWXUHV

n The individual physical tables in the SAP Information Warehouse are called information structures.All information structures, or info structures for short, have the same structure.

n The objects to analyze from the real business world are represented by characteristics in infostructures, which are used as a basis for categorizing data. Statistical information is updated andaggregated around characteristics such as vendor, customer, or material. Organizational elementssuch as purchasing group, material group, valuation area, plant, or storage area can also function ascharacteristics in information structures.

n The time base is another aggregation option. The data is not only accumulated for each characteristicbut also per period. For each information structure, you can choose a daily, weekly, or monthly dataaggregation.

n Logistics key figures are updated for each combination of characteristics in accordance with thepredefined period unit. Key figures are quantitative figures, which convey a concise but meaningfulamount of information. Key figures can be obtained for each characteristic through the cumulation ofdata, such as purchase order quantity or production order quantity; however, they can also take theform of simple counters, such as ’number of deliveries’.

n The SAP R/3 System contains a wide range of standard information structures for differentapplication areas. Easy-to-use tools also allow you to group characteristics and key figures togetherto suit your needs, resulting in self-defined info structures, which can then be supplied with data viaseparate update programs.

© SAP AG LO930 2-9

SAP AG 1999

6$3�%XVLQHVV�,QWHOOLJHQFH

6DYHZ\[^]Q_L[L`\abFb^bcedQf\d*gLhbFb^b!i [Fj h\dbFb^b

)OH[LEOH�DQDO\VHV 6HOI�GHILQHG�HYDOXDWLRQ

([FHO��/,/

k*lm"n+o p o q

r p s�t3ODQQLQJ

8C9 ; < = > = ?@ > ACB 6$3�%XVLQHVV�,QWHOOLJHQFHl 6DYHX /DUJH�QXPEHU�RI

VWDWLVWLFDO�IXQFWLRQVX 8QUHVWULFWHG�QDYLJDWLRQl )OH[LEOH�DQDO\VHVX 9DULDEOH�OLVW�OD\RXWX 6HOI�GHILQHG�IRUPXODVl 6HOI�'HILQHG�(YDOXDWLRQVX 6$3�4XHU\X $%$3l /RJLVWLFV�,QIRUPDWLRQ

/LEUDU\X .H\�ILJXUH�FODVVLILFDWLRQX 5HWULHYDO�IXQFWLRQVl 3ODQQLQJX 'LVWULEXWLRQ�IXQFWLRQVX ,QWHUDFWLYH�JUDSKLFVX )RUHFDVWLQJ�VXSSRUWl 1RQ�6$3�SURGXFWVX 1DWLYH�64/X ([FHO

n The Business Intelligence level provides a wide range of methods for online analysis of warehousedata.

n Standard analyses enable you to analyze data from a variety of perspectives. They support a largenumber of statistical functions, allow unlimited navigation, and enable statistical data to be enhancedwith background data from the operative systems at OLTP level.

n Flexible analyses can be generated via reporting tools and tailored to suit corporate requirements.They provide a variety of possible layouts, allow you to define your own formulas, and aregraphically supported in the same way as the standard analyses.

n Furthermore, with the aid of SAP ABAP products, you can perform your own analyses and processany warehouse information without any problems, since data in the Logistics Data Warehouse isstored transparently.

n In addition to the actual data from the operative applications, planned data can also be managed inthe Logistics Information System in different versions. The creation of planning data is supported byspecial tools such as distribution functions, interactive graphical techniques, and proven forecastingmethods. You can compare planned data with actual data as part of the standard analyses.

n The Logistics Data Warehouse is open and of course allows you to perform analyses using non-SAPproducts such as Excel or native SQL.

© SAP AG LO930 2-10

SAP AG 1999

6$3�/RJLVWLFV�,QIRUPDWLRQ�6\VWHP

/,6/,6/,6.u. - �.u. - �.$.�- �� - �� - �� - � .uvxw$y - �.uvxw/y - �.$vzw$y - � -:{'|zy~}-:{�|xyx}-C{'|~yz}

wx- �wz- �wz- �� 0%- �� 0%- �� 0%- � .�0%- �.�0�- �.$0%- � � 0�- �� 01- �� 0�- ��&��C��:��

� ��

T T��T$T��U��(�U��#�R(SR(S� T� T U TU T

U�UU�UT�T��T$T��P TP T�)T��T ��

� SAP Logistics offers a number of application-related information systems with a standardized userinterface and similar basic functions.All data in Logistics Information Systems is stored in the same way. Special tools and methodsunderline the typical data warehouse character in LIS.

� The following logistics information systems are available:

• SIS Sales Information System

• PURCHIS Purchasing Information System

• INVCO Inventory Controlling

• WMIS Warehouse Management Information System

• PPIS Shop Floor Information System

• QMIS Quality Management Information System

• PMIS Plant Maintenance Information System

• RIS Retail Information System

© SAP AG LO930 2-11

SAP AG 1999

6$3�2SHQ�,QIRUPDWLRQ�:DUHKRXVH

��e� �� ¡ ��¢�£�¤�£�¥e¡ � ¡ ��K ��£� L� �¦�§¨¨¦©ª&«+¬+¬

ª4«"«�®

D � ��¤e� � ¡ � �e¯��J � e° ¡ � ±¥ � � � ² ¯'¤L³ e´ ��µ�¶e£e³ ¡ ° ¡ ¥�£ � ¡ L� �

r p s(t

100

0 100

y·- �y·- �y¸- �¹�- �¹�- �¹�- � ,�- �,�- �,�- � - � - � - �

2$- �2�- �2�- �

º�»+¼Q½�¾Q¿^À Á ¼QÂ¼ » ½�Ã »4ÄÅ#Æ�ÇCÈ\É�Ê\Ë^ÌÍ ÇWÎ Ì Ç Ë

Ï�Ð^Ñ Ã Ä¼ » ½�Ã » ÄÓÒ�ÔLÕ�ÖL×:Ø\Ù^ÚÛ!Ü ÖLÝ Ù ØLÞ Ú ß7à ×

Ô Þ Ù Ô àÔ Ø Ù

Ö ÜCá Ù Ü Ú3URGXFR

3XUFKDVHRUGHUV

6DOHV�RUGHUV ,QYRLFHV

MHFWV0DLQWHQDQF

H�RUGHUV

n SAP Open Information Warehouse is a generic term for all SAP information system solutions.It is important to note that the "traditional" information systems in Logistics, Accounting, HumanResources, etc. do not have the same structures. Each application has its own methods - only EISfeatures a number of cross-application approaches.

n The SAP Open Information Warehouse contains the following information systems:

• EIS Executive Information System

• LIS Logistics Information System

• FIS Financial Information System

• HIS Human Resources Information System

• CIS Controlling Information System

n Each information system of the SAP Open Information Warehouse realizes the above mentionedbasic principles of data warehousing in its own specific way and with a different degree of intensity.

© SAP AG LO930 2-12

SAP AG 1999

)URP�'RFXPHQW�WR�$QDO\VLV

329HQGRU��32�GDWH��â*ãåä ��æ 0�ç4ã�â·èéâ�êCâ*ã(ãåvx{x-�â(â�ê ã�ã(ãâ*ãåä ��æ 0�ç4ã�ë%èéâ�ê�ã�ã(ãåv7{/-�â�ã(ê ã�ã(ã

,QIR�VWUXFWXUHLQ�3XUFKDVLQJ,QIR�VWUXFWXUHLQ�3XUFKDVLQJ

| �� 5 � �100010001100

0 ��4�!� ��M-01M-02M-01

0 � ��05/9805/9805/98

} � 5 ��æ11,00030,00013,000

0 ��&�� :ì 01çCã�â0 ��'ì ã�í�îWï�ðOrder value

11,00013,000

Vendor

10001100

ñ~ò�ó�ô!õ�ö�÷�ø�ù(ù�ùú%õ�ó�û"ü'÷ýù�þ�ÿ��Order value

11,00030,000

Material

M-01M-02

n When a document is posted - as shown here in the example of a purchase order - the key figures ofthe info structures for the corresponding characteristics combinations are updated.

n If no data record exists in the information structure for the characteristics combination of thedocument, a new record is generated and the characteristics and key figures are entered (Example:Vendor 1000, material M-01, month 05/98, purchase order value 11,000).

n If the characteristics combination already exists in the info structure, the key figures in the data roware increased or decreased accordingly. (Example: Vendor 1000, material M-02, month 05/98, oldpurchase order value 20,000 + purchase order value document 10,000 = new purchase order value30,000).

n The different analyses can generate lists for all kinds of characteristics combinations using datastored in the info structures.

© SAP AG LO930 2-13

SAP AG 1999

$FFHVVLQJ�WKH�/RJLVWLFV�,QIRUPDWLRQ�6\VWHP

��ó��õ��û�ò ��

Link to the application level infosystems in Logistics

�Groups of key figures (e.g. purchasingvalues) are listed for the maincharacteristics

�(õ�� û�� zõ ó�ûö+õ��:ó ��

Link to the application level info systemsin Logistics

�Characteristics and key figures aregrouped by topic in analyses (e.g. materialanalysis)

��ó��õ�� ö��ö��Search for key figures according tovarious subroutines�

Search via text�

Search via characteristics�

Search via info set

�! " �� (û#� õ�ó��(ò%$�ò&��')(��:ó��&õ*��û+ò ��

A direct link to the correspondingLogistics Information System is possiblefrom the different application levels (e.g.Purchasing)

n The R/3 System offers various possibilities for accessing the Logistics Information System:

• All key figures are managed in the Info Library and can be found using different kinds of searchroutines. If a search was successful, a standard analysis can be executed for a key figure.

• Logistics application levels can be accessed using the menu option Information Systems. Here,groups of key figures (e.g. purchasing values, frequencies) for the main characteristics of anapplication level are listed in standard analyses.

• It is also possible to call up the different application areas of the Logistics Information Systemvia Logistics Controlling. Here, characteristics and key figures are grouped by topic in standardanalyses (e.g. material analysis, vendor analysis).

• A fourth possibility of calling up the corresponding Logistics Information Systems is provided inthe application levels. It is, for example, possible to call up the Purchasing Information Systemdirectly from Purchasing or to call up the Sales Information System from Sales.

© SAP AG LO930 2-14

SAP AG 1999

'DWD�:DUHKRXVH�&RQFHSWV��6XPPDU\

l ([SODLQ�KRZ�PRGHUQ�GDWD�ZDUHKRXVH�SURGXFWVHQVXUH�DYDLODELOLW\�RI�LQIRUPDWLRQ

l 'HILQH�6$3�WHUPLQRORJ\�DQG�GDWD�ZDUHKRXVHFRQFHSWV

l ,GHQWLI\�WKH�GLIIHUHQFH�EHWZHHQ�GRFXPHQW�LQGHSHQGHQW�GDWD�DQG�GRFXPHQW�VSHFLILFDSSOLFDWLRQ�LQIRUPDWLRQ

<RX�DUH�QRZ�DEOH�WR�

© SAP AG LO930 2-15

([HUFLVH�'DWD

6\PEROV�8VHG�LQ�WKH�([HUFLVHV�DQG�6ROXWLRQV

([HUFLVHV

6ROXWLRQV

8QLW�2EMHFWLYHV

%XVLQHVV�6FHQDULR

7LSV��7ULFNV

:DUQLQJ�RU�&DXWLRQ

© SAP AG LO930 2-16

'DWD�LQ�WKH�([HUFLVHV

7\SH�RI�'DWD 'DWD�LQ�7UDLQLQJ�6\VWHPVendors 1000 to 1045 (increments of 5)

Purchasing organization 1000

Purchasing group 0## (00-20)

Plant 1000

Storage location 0001

Sold-to party 6300-## (00-20)

Ship-to party 6300-## (00-20)

Sales organization 1000

Distribution channel 10

Division 00 for ordering, 07 for reporting

Shipping point 1200

Customer statistics group 1

Materials M-## (00 to 20)DPC1002 to DPC1021

Material statistics group 1

There are 2 sets of exercises for some units. The first set is applicable tothe Purchasing Information System. The second set is applicable to theSales Information System. Choose the exercises that most closely relateto your business function. Do not attempt both, unless you are familiarwith purchasing DQG sales.

* Exercises marked with a * (asterisk) are additional optional exercises based on thecontents of the course.

© SAP AG LO930 2-17

([HUFLVHV

8QLW��'DWD�:DUHKRXVH�&RQFHSWV7RSLF��%DVLF�&RQFHSWV�DQG�7HUPLQRORJ\

• Identify the difference between document-independent data anddocument-specific application information.

Your organization is implementing all R/3 Logistics modules. In order tohave consistent reporting across the enterprise, management hasrequested that the same set of data warehouse reporting tools be used forall logistics analyses.

Your organization has many resale products, in other words products thatyou purchase from vendors and resell to your customers. Managementwould like to track all activities for these products - sales, orders, andgoods receipts.

There are 2 sets of exercises for this unit. The first set applies to the3XUFKDVLQJ�,QIRUPDWLRQ�6\VWHP, the second to the Sales InformationSystem. Choose the exercises that most closely relate to your businessfunction. Do not attempt both, unless you are familiar with purchasingDQG sales.

1-1 Using the standard analysis tool within the Purchasing Information System(PURCHIS), check the total value of purchase orders for material 0�� in plant��, purchased in the last two months.

Use the standard analysis for materials.

1-1-1 Record the value, if any.

© SAP AG LO930 2-18

1-2 In order to satisfy future demands, you need to place a purchase order with yourvendor.

1-2-1 Use the order type VWDQGDUG�SXUFKDVH�RUGHU� Create a purchase order withthe following data: Vendor ��, purchasing organization ,'(6�*HUPDQ\,a purchasing group of your choice, material 0�� and plant ��.

IDES AGLyoner Stern 231, Frankfurt 60441

06227-1234-0 FAX 06227-1234-999

3XUFKDVH�2UGHU2UGHU�QXPEHU� ��;;;;;; 9HQGRU��

Terms: 14 Days 3%, Net 303XUFKDVLQJ�RUJDQL]DWLRQ�� ,'(6�*HUPDQ\3XUFKDVLQJ�JURXS�� DQ\5HTXHVWHG�GHOLYHU\�GDWH� 2QH�ZHHN�IURP�WRGD\Item Material Short text Qty Delivery date Net price Plant10 M-## 10 1000

1-2-2 Save the purchase order and record the purchase order number below:

1-3 Using the standard analysis tool within the Purchasing Information System(PURCHIS), check whether material 0�� in plant �� has been purchased in thelast two months.

1-3-1 What are the key figures that are automatically displayed?

1-3-2 Read the online documentation for these key figures.

1-3-3 How can you display all key figures for this material?

1-3-4 What is the technical name of this info structure?

© SAP AG LO930 2-19


• Identify the difference between document-independent data anddocument-specific application information.

Your organization is implementing all R/3 Logistics modules. In order tohave consistent reporting across the enterprise, management hasrequested that the same set of data warehouse reporting tools be used forall logistics analyses.

Your organization has many resale products, in other words products thatyou purchase from vendors and resell to your customers. Managementwould like to track all activities for these products - sales, orders, andgoods receipts.

There are 2 sets of exercises for this unit. This second set applies to the6DOHV�,QIRUPDWLRQ�6\VWHP.

Choose the exercises that most closely relate to your business function.Do not attempt both, unless you are familiar with purchasing DQG sales.

2-1 Using the standard analysis tool within the Sales Information System (SIS), checkthe total value of incoming orders for customer �� over the last two months.

Use the standard analysis for customers.

2-1-1 Record the incoming orders value, if any.

© SAP AG LO930 2-20

2-2 The following is a purchase order you have RECEIVED from your customer:

2-2-1 Enter this information as a SALES ORDER. Use order type 25, salesorganization ��distribution channel ��division ��customernumber/sold-to party �� order number ��, and material number0��.

High Tech Industries AGWalldorf, DE06227-1234-0

FAX 06227-1234-9993XUFKDVH�2UGHU

2UGHU�QXPEHU�� Terms: 14 Days 3%, Net 30Requested delivery date: One weekItem Material Short text Qty Net price Net value10 M-01 Sunny Sunny 01 10

2-2-2 Save the sales order and record the sales order number below:

2-3 Using the standard analysis tool within the Sales Information System (SIS), checkthe sales for customer ��


You will need to change the defaulted division to ��.

2-3-1 What are the key figures that are automatically displayed?


2-3-3 How can you display all key figures for this customer?


© SAP AG LO930 2-21

6ROXWLRQV



1-2 Using the standard analysis tool within the 3XUFKDVLQJ�,QIRUPDWLRQ�6\VWHP(PURCHIS), check the total value of purchase orders for material 0�� in plant��, purchased in the last two months.

Use the standard analysis for materials.

)URP�WKH�ILUVW�5��PHQX��FKRRVH�/RJLVWLFV�→�/RJLVWLFV�&RQWUROOLQJ�→�3XUFKDVLQJ�,QIRUPDWLRQ�6\VWHP6WDQGDUG�DQDO\VHV�→�0DWHULDO��GRXEOH�FOLFN�(QWHU�WKH�PDWHULDO�0��DQG�SODQW��7KH�SHULRG�WR�DQDO\]H�VKRXOG�EH�VHW�WRWZR�PRQWKV�E\�GHIDXOW�([HFXWH�1-1-1 Record the value, if any.

5HFRUG�WKH�NH\�ILJXUH�µ2UGHU�YDOXH¶��+RZHYHU��WKH�PHVVDJH�µ1R�GDWD�H[LVWVIRU�FKRVHQ�VHOHFWLRQ¶�ZLOO�DSSHDU�LI�QR�SXUFKDVH�RUGHUV�KDYH�EHHQ�FUHDWHGIRU�WKLV�PDWHULDO�

© SAP AG LO930 2-22

1-2 In order to satisfy future demands, you need to place a purchase order with yourvendor.

1-2-2 Use the order type VWDQGDUG�SXUFKDVH�RUGHU� Create a purchase order withthe following data: Vendor ��, purchasing organization ,'(6�*HUPDQ\,a purchasing group of your choice, material 0�� and plant ��.

IDES AGLyoner Stern 231, Frankfurt 60441

06227-1234-0 FAX 06227-1234-999

3XUFKDVH�2UGHU2UGHU�QXPEHU� ��;;;;;; 9HQGRU��

Terms: 14 Days 3%, Net 303XUFKDVLQJ�RUJDQL]DWLRQ�� ,'(6�*HUPDQ\3XUFKDVLQJ�JURXS�� any

5HTXHVWHG�GHOLYHU\�GDWH� 2QH�ZHHN�IURP�WRGD\Item Material Short text Qty Delivery date Net price Plant10 M-## 10 1000

/RJLVWLFV�→�0DWHULDOV�0DQDJHPHQW�→�3XUFKDVLQJ3XUFKDVH�2UGHU�→�&UHDWH�→�9HQGRU�6XSSO\LQJ�3ODQW�.QRZQ&KRRVH�WKH�SXUFKDVH�RUGHU�W\SH�6WDQGDUG�32�

<RX�QRZ�QHHG�WR�HQWHU�WKH�IROORZLQJ�GDWD�LQ�WKH�32�9HQGRU�QXPEHU��

+HDGHU��\RX�PD\�KDYH�WR�FKRRVH�WKH�2UJ��GDWD�WDE�LQ�WKH�KHDGHU�RI�WKHSXUFKDVH�RUGHU�GRFXPHQW�� 3XUFKDVLQJ�RUJ��,'(6�*HUPDQ\�� $Q\�SXUFKDVLQJ�JURXS

,WHP�RYHUYLHZ�� 0DWHULDO�0�� $�TXDQWLW\�RI��IRU�WKH�PDWHULDO�� 5HTXHVWHG�GHOLYHU\�GDWH��RQH�ZHHN�IURP�WRGD\�� (QWHU�D�SULFH��LI�WKHUH�LV�QRQH�GHIDXOWHG�� 3ODQW�� 6DYH�WKH�SXUFKDVH�RUGHU�

© SAP AG LO930 2-23

1-2-2 Save the purchase order and record the purchase order number below:

7KH�RUGHU�QXPEHU�ZLOO�EH�JHQHUDWHG�DXWRPDWLFDOO\�E\�WKH�V\VWHP�ZKHQ�\RXVDYH�WKH�SXUFKDVH�RUGHU�

1-3 Using the standard analysis tool within the Purchasing Information System(PURCHIS), check whether material 0�� in plant �� has been purchased in thepast two months.

)URP�WKH�ILUVW�5��PHQX��FKRRVH�/RJLVWLFV�→�/RJLVWLFV�&RQWUROOLQJ�→�3XUFKDVLQJ�,QIRUPDWLRQ�6\VWHP6WDQGDUG�DQDO\VHV�→�0DWHULDO��GRXEOH�FOLFN�(QWHU�WKH�PDWHULDO�0��7KH�SHULRG�WR�DQDO\]H�VKRXOG�EH�VHW�WR�WZR�PRQWKV�E\GHIDXOW�([HFXWH�1-3-1 What are the key figures that are automatically displayed?

2UGHU�YDOXH��RUGHU�TXDQWLW\��DQG�JRRGV�UHFHLSW�TXDQWLW\�1-3-3 Read the online documentation for these key figures.

3ODFH�WKH�FXUVRU�RQ�WKH�NH\�ILJXUH�GHVFULSWLRQ�DQG�FOLFN�)��7KH�IXOOGHVFULSWLRQ�DQG�XVDJH�LV�GHWDLOHG�LQ�WKH�RQOLQH�GRFXPHQWDWLRQ�

1-3-3 How can you display all key figures for this material?

'RXEOH�FOLFNLQJ�RQ�DQ\�NH\�ILJXUH�ZLOO�GLVSOD\�DOO�WKH�NH\�ILJXUHV�DYDLODEOHLQ�WKLV�LQIRUPDWLRQ�VWUXFWXUH�


6HOHFW�DQ\�ILHOG�ZLWKLQ�WKH�VWDQGDUG�DQDO\VLV�&OLFN�)��&KRRVH�7HFKQLFDO�LQIR��RU([WUDV�→ 6HOHFWLRQ�ORJ6��

© SAP AG LO930 2-24




2-2 Using the standard analysis tool within the Sales Information System (SIS), checkthe total value of incoming orders for customer �� over the last two months.


)URP�WKH�ILUVW�5��PHQX��FKRRVH�/RJLVWLFV�→�/RJLVWLFV�&RQWUROOLQJ�→�6DOHV�,QIRUPDWLRQ�6\VWHP6WDQGDUG�DQDO\VHV�→�&XVWRPHU��GRXEOH�FOLFN�(QWHU�WKH�FXVWRPHU��7KH�SHULRG�WR�DQDO\]H�VKRXOG�EH�VHW�WR�WZR�PRQWKV�E\GHIDXOW��([HFXWH�2-1-2 Record the incoming orders value, if any.

5HFRUG�WKH�NH\�ILJXUH�µ,QFRPLQJ�RUGHUV¶��+RZHYHU��WKH�PHVVDJH�µ1R�GDWDH[LVWV�IRU�FKRVHQ�VHOHFWLRQ¶�ZLOO�DSSHDU�LI�QR�VDOHV�RUGHUV�KDYH�EHHQFUHDWHG�IRU�WKLV�FXVWRPHU�

© SAP AG LO930 2-25

2-2 The following is a purchase order you have RECEIVED from your customer:

2-2-1 Enter this information as a SALES ORDER. Use order type 25, salesorganization ��distribution channel ��division ��customer number/sold-to party �� order number ��, and material number 0��.

High Tech Industries AGWalldorf, DE06227-1234-0

FAX 06227-1234-9993XUFKDVH�2UGHU

2UGHU�QXPEHU�� Terms: 14 Days 3%, Net 30Requested delivery date: One weekItem Material Short text Qty Net price Net value10 M-01 Sunny Sunny 01 10

/RJLVWLFV�→�6DOHV�DQG�'LVWULEXWLRQ�→�6DOHV�→�2UGHU�→�&UHDWH(QWHU�D�VWDQGDUG�RUGHU��25��7KH�RQO\�GDWD�\RX�QHHG�WR�HQWHU�IURP�WKLV�32�LV�WKH�IROORZLQJ�6DOHV�RUJDQL]DWLRQ ��'LVWULEXWLRQ�FKDQQHO ��'LYLVLRQ ��>(QWHU@6ROG�WR�SDUW\� ��2UGHU�QXPEHU� ��XVH�\RXU�JURXS�QXPEHU�

$OO�LWHPV�0DWHULDO� 0��7KH�TXDQWLW\�IRU�WKH�PDWHULDO�

$OO�RWKHU�GDWD�ZLOO�GHIDXOW�DXWRPDWLFDOO\�IURP�WKH�FXVWRPHU�PDVWHU��WKH�PDWHULDOPDVWHU��DQG�WKH�SULFLQJ�FRQGLWLRQ�WDEOHV�6DYH�WKH�RUGHU�

2-2-2 Save the sales order and record the sales order number below:

7KH�VDOHV�RUGHU�QXPEHU�ZLOO�EH�JHQHUDWHG�DXWRPDWLFDOO\�E\�WKH�V\VWHPZKHQ�\RX�VDYH�WKH�VDOHV�RUGHU�

© SAP AG LO930 2-26

2-3 Using the standard analysis tool within the Sales Information System (SIS), check thesales for customer ��


You will need to change the defaulted division to ��.

)URP�WKH�ILUVW�5��PHQX��FKRRVH�/RJLVWLFV�→�/RJLVWLFV�&RQWUROOLQJ�→�6DOHV�,QIRUPDWLRQ�6\VWHP6WDQGDUG�DQDO\VHV�→�&XVWRPHU��GRXEOH�FOLFN��&KDQJH�WKH�GHIDXOWHG�GLYLVLRQ�WR��([HFXWH�2-3-1 What are the key figures that are automatically displayed?

,QFRPLQJ�RUGHUV��6DOHV��&UHGLW�PHPRV��7KLV�PD\�YDU\��GHSHQGLQJ�RQ�WKHVFUHHQ�UHVROXWLRQ�


3ODFH�WKH�FXUVRU�RQ�WKH�NH\�ILJXUH�GHVFULSWLRQ�DQG�FOLFN�)��7KH�IXOOGHVFULSWLRQ�DQG�XVDJH�LV�GHWDLOHG�LQ�WKH�RQOLQH�GRFXPHQWDWLRQ�

2-3-3 How can you display all key figures for this customer?

'RXEOH�FOLFNLQJ�RQ�DQ\�NH\�ILJXUH�ZLOO�GLVSOD\�DOO�WKH�NH\�ILJXUHV�DYDLODEOHLQ�WKLV�LQIRUPDWLRQ�VWUXFWXUH�


6HOHFW�DQ\�ILHOG�ZLWKLQ�WKH�VWDQGDUG�DQDO\VLV�&OLFN�)��&KRRVH�7HFKQLFDO�LQIR��RU([WUDV�→ 6HOHFWLRQ�ORJ6��

© SAP AG LO930 3-1

SAP AG 1999

6WDQGDUG�$QDO\VHV�LQ�/,6

l )XQFWLRQDOLW\�RI�VWDQGDUG�DQDO\VHVl 6HOHFWLRQ�2SWLRQVl 1DYLJDWLRQ�LQ�6WDQGDUG�$QDO\VLV�/LVWVl 6WDWLVWLFDO�IXQFWLRQVl 8VHU�VHWWLQJVl 6HWWLQJV�IRU�VWDQGDUG�DQDO\VHV

&RQWHQWV�

© SAP AG LO930 3-2

SAP AG 1999

l $FFHVV��H[HFXWH��DQG�QDYLJDWH�VWDQGDUG�DQDO\VLVOLVWV

l 8VH�YDULDQWV�ZKHQ�VHOHFWLQJl 'HILQH�GHIDXOW�VHWWLQJV�DQG�VWDWLVWLFDO�IXQFWLRQV


6WDQGDUG�$QDO\VHV�LQ�/,6��8QLW�2EMHFWLYHV

© SAP AG LO930 3-3

SAP AG 1999

)OH[LEOH�DQDO\VLV




•��

• �� • �!��"�#�! ��•�$�� #�� %��&�' ��(�

• �)� ��#�� *�� • ��+��+�#��


,�-./.0102!3 �4��(��

5 �� 76

6WDQGDUG�$QDO\VHV�LQ�/,6��2YHUYLHZ

n Various analysis possibilities are offered in LIS depending on the data basis in the standardinformation structures. The standard analyses are an effective tool for presenting and analyzing thedata basis in LIS.

© SAP AG LO930 3-4

SAP AG 1999

6WDQGDUG�$QDO\VHV�LQ�/,6��%XVLQHVV�6FHQDULR

l <RXU�FRPSDQ\�KDV�GHFLGHG�WR�DQDO\]H�WKHUHODWLRQVKLSV�ZLWK�RWKHU�ILUPV��VSHFLILFDOO\�YHQGRUVDQG�FXVWRPHUV�

© SAP AG LO930 3-5

SAP AG 1999

)XQFWLRQVABC analysis

Classification

Dual classification

Plan/actual comp.

Cumul. freq. curve

Correlation

$GGLWLRQDOLQIRUPDWLRQ

Master dataDoc.informationInfo switch

Purchasing group: 0 ��+8!�!�

Vendor: �:9; �� - ��!<

Month Order value

02/199803/1998

25,00035,000

20,00030,000

Purchasing group: 0 � �+8��

Vendor Order value Invoicedamount

60,00040,000

50,00040,000

. � ��!=��8;8��"� �!> �!�(�� ?#�! �Order value Invoiced

amount

100,000200,000

90,000195,000

'ULOOGRZQ�E\�YHQGRU

Purchasing group

MorganSmith

'ULOOGRZQ�E\�SHULRG Smith Inc.

Brown Inc.

Invoicedamount

Time series

'DWD�VHOHFWLRQMultiple selection

Selection optionsVariants

Self-def. hierarchies

5HSRUWLQJ�LQ�6WDQGDUG�$QDO\VHV

n Standard analyses offer a wide range of functions for high quality presentations and analyses of thedata basis in LIS.

n The data basis for a standard analysis is established when you determine an object to analyze(e.g. purchasing group, vendor, material group, etc.) and make selections.

n This data is then organized and can be displayed in an initial list and a variety of drilldown lists.Each analysis can be archived.

n You can use the standard transactions in the application to display the complete master record ordocument information from the various drilldown levels of the list.

n A wide range of functions can be used to individually examine the key figures and characteristicvalues on which the analysis is based from a business perspective. All the functions for statisticalanalyses are graphically supported.

© SAP AG LO930 3-6

SAP AG 1999

l 9DOXH�VHOHFWLRQn 6LQJOH�YDOXH�VHOHFWLRQ�DQG�UDQJHVn &RPSOH[�VHOHFWLRQn 0XOWLSOH�VHOHFWLRQn 6HOHFWLRQ�XVLQJ�VHOI�GHILQHG�KLHUDUFKLHV

l 6HOHFWLRQ�RSWLRQVl 9DULDQWV

'DWD�6HOHFWLRQ

n The selection screen of the standard analyses offers several options for selecting the characteristicvalues that are used in the analysis.

n Apart from single-value selection and selection using value ranges, you can also define complexdefault values with the exception of single values or ranges of values. Moreover, you can determineseveral characteristic values for the analysis using the matchcode search or self-defined hierarchies

n Variants allow you to save a wide range of entries in the selection screen and can be called againwhenever required.

© SAP AG LO930 3-7

SAP AG 1999

9DOXH�6HOHFWLRQ

All possibilities of the matchcode search areavailable for multiple selection.The choice of matchcodes depends on thechosen characteristic in the selectionscreen. Associated characteristic valuescan be selected and copied.

Characteristics

Period to analyze

Purch. organizationMaterialPlant

toto

to

Month to

0DWHULDO�$QDO\VLV��6HOHFWLRQ

Multiple selection ...

Single vals Ranges Single vals Ranges

0 � � �� > � ��(�� M-01

MaterialMaterial

M-02M-03M-04M-05M-06

001

MaterialGr.MaterialGr.

001001001001001

1000

Sales Org.Sales Org.

10001000100020002000

6@��&�1��(��A��!��+�B�#�� #�� 1��#��

Multiple Selection

n You can enter a single value or a range of values in every selection screen of the standard analyses.

n Using the ’multiple selection’ function, you can also carry out a multiple selection or a complexselection.

n For multiple selection, various matchcodes are available for selecting characteristic values withspecific attributes, depending on the selected characteristic. (Example: All materials with materialtype raw material). You can select the result of the matchcode search in a list and copy it into theselection screen.

n The complex selection of characteristic values allows you to exclude certain characteristic valuesfrom this range after entering a range of values. The characteristic values to be excluded can also bedefined using single values or ranges.

© SAP AG LO930 3-8

SAP AG 1999

6HOHFWLRQ�8VLQJ�6HOI�'HILQHG�+LHUDUFKLHV

CWith ’Choose using hierarchy’ you cancopy characteristic values for allcharacteristics from self-definedhierarchies.

CWith ’Selection using hierarchy’ you canselect a single hierarchy node as aselection criterion.

0 ��&�!�� (�� ?(�! � D��@�� (�� Characteristics

Period to analyze


toto

to

Month to


Period to analyzeMonth to


CharacteristicsPurch. organizationMaterialPlant

toto

to

Choose using hierarchy

Selection using hierarchy

Hierarchy nodes

DeleteChoose...

n Apart from the options already mentioned, the selection of characteristic values using self-definedhierarchies offers another possibility to restrict the characteristic values entered into the standardanalysis. In the selection screen, you can call this type of selection of characteristic values using thefunction ’All selections’. Two procedures are available:

é Using the selection ’Choose using hierarchy’, you can select all materials and hierarchy nodes andcopy them into the selection screen.

é Using the selection ’Selection using hierarchy’, you can only choose a single hierarchy node. Allcharacteristics below this node or its subnode are copied into the selection screen.

© SAP AG LO930 3-9

SAP AG 1999

6HOHFWLRQ�2SWLRQV

0 ��&�!�� !�

Exclude patternSingle valueGreater than or equal toLess than or equal toGreater thanLess thanNot equal to

0 ��=��=�B�� #�� FE > � ��

Select

Pattern

0 ��&�� (�� ?(�! �'D(�$�!� �(�� 0DWHULDO�$QDO\VLV��6HOHFWLRQ

GH�(�!��(��&�� PlantMRP controllerMaterial. �!�� 5 �&�I�� ?(��Month

�KJ

0 ��&�� !� � �(�!� ?��! ��D��$�� (�� Characteristics

Period to analyze


toto

to

Month to

0 J

n Using the function ’Maintain selection options’ you can maintain an option (e.g. single value lessthan) for a single value or a range of values. There are 10 options altogether, but depending on thevalues entered, not all of them are displayed in the ’from’ and ’to’ fields.

n Moreover, using this function, you can define whether the characteristic values entered should beexcluded from the selection or included.

© SAP AG LO930 3-10

SAP AG 1999

9DULDQWV

CAdvantages of variants:

CSimplification of data entry whencarrying out repeated analyses.

CYou can predefine fixed defaultvalues for the selection ofcharacteristics.

CYou can enter values in theselection criteria using tablevariables and function modules.

CSupport for scheduling standardanalyses using selection versions.

GL��(��4�!� �� PlantMRP controllerMaterial. �� 5 �&�M��(�� ?#�*�Month

0 ��&�� !� � �(�� ?(�� D��@�� (��N ��

0�OQP�RP�P�RR*P�P�P

P�S < R�T�T�U

0 ��&�� (�� ?(�! �'D(�$�!� �(�� 0DWHULDO�$QDO\VLV��6HOHFWLRQ

GH�(�!��(��&�� PlantMRP controllerMaterial. �!�� 5 �&�I�� ?(��Month

�KJ

0 ��&�� !� � �(�!� ?��! ��D��$�� (�� Characteristics

Period to analyze


toto

to

Month to

0%O+R*PR�P�P�P

0%OQV�PR�V�P�P

R�R < R*T�T(U R*P < R*T(T(T

.....Variants.....

Goto

GetDisplayDeleteSave as variant

n You can save the values entered into the selection screen by using variants. This is particularlyimportant when a great amount of data has been entered into the selection screen (see multipleselection) and will be required again later on. You can considerably reduce the effort required toenter data when carrying out repeated analyses.

n By using variants, you can fix default values which will be made available for many users.Depending on the variant, all analyses thus refer to the same selection contents for all users.

n You can also enter values into the selection criteria by using table variables or function modules. Asa result, it is possible to copy user-specific characteristic values into the selection screens.

n Variants also enable you to schedule standard analyses in the background. When standard analysesare scheduled using selection versions, the analysis is restricted by selection criteria, which aredefined with variants.

n Note that variants are always stored with reference to the analysis.

© SAP AG LO930 3-11

SAP AG 1999

<RX�KDYH�WKUHH�RSWLRQV�IRU�QDYLJDWLQJ�LQ�WKHVWDQGDUG�DQDO\VLV�OLVW�

l 6WDQGDUG�GULOOGRZQl 'ULOO�GRZQ�E\l 6ZLWFK�GULOOGRZQ

1DYLJDWLRQ�LQ�6WDQGDUG�$QDO\VLV�/LVWV

n After executing a standard analysis, an initial list is displayed on the screen. Starting from this initialstandard analysis list, the system offers three possibilities for navigation.

é 6WDQGDUG�GULOOGRZQ� By double-clicking on a characteristic you will access the next level of apredefined standard drilldown.

é 'ULOOGRZQ�E\: You can drill down each characteristic according to a different characteristic.

é 6ZLWFK�GULOOGRZQ: The whole drilldown can by displayed for another characteristic.

© SAP AG LO930 3-12

SAP AG 1999

6WDQGDUG'ULOOGRZQMaterial

Vendor

Month

0DWHULDO�DQDO\VLVMaterial Order value Invoiced

amount100.000200.000

90.000195.000

•

M-01M-02 •

0DWHULDO��0��Vendor Order value Invoiced

amount60.00040.000

50.00040.000

BrownBauer 9HQGRU��6PLWK��0��

Month Order value Invoicedamount

20.00025.000

20.00025.000 •

02.199803.1998 •

6/� ��W � � O ��= �#X

6/� �!W � � O �#�= �!X

6WDQGDUG�'ULOOGRZQ

n Each standard analysis has a specific standard drilldown.

n This standard drilldown can have global and user-specific settings. In order to define this drilldown,you can use all characteristics and the period unit of the relevant info structure.

n When you call up a standard analysis, the top level of the standard drilldown will always bedisplayed. By double-clicking on a characteristic, you can drill down this characteristic to the nextcharacteristic. The result will be displayed in a new list.

© SAP AG LO930 3-13

SAP AG 1999

'ULOO�'RZQ�E\

'ULOO�GRZQ�E\Purch. organizationVendor

Mat groupMaterial

PlantMonth


amount100.000200.000

90.000195.000 •

M-01M-02 •

Plant Order value Invoicedamount

60.00040.000

50.00040.000

10002000

0DWHULDO��0��

n Starting from any list in a standard analysis, you can drill down any characteristic value in this listaccording to a different characteristic. Therefore, you analyze the key figure values of thischaracteristic value further according to a different characteristic.

© SAP AG LO930 3-14

SAP AG 1999

6ZLWFK�GULOOGRZQPur. organizationVendor

Material groupMaterial

PlantMonth

0DWHULDO�DQDO\VLV0DWHULDO Order val. Invoiced

amountTotalM-01M-02M-03 •

800,000100,000

50,000200,000

750,000100,00050,000

195,000 •

0DWHULDO�DQDO\VLV3ODQW Order val. Invoiced

amountTotal10002000

800,000500,000300,000

750,000450,000300,000

6ZLWFK�GULOOGRZQ��

6ZLWFK�'ULOOGRZQ

n From any list in a standard analysis, the total values of all key figures can be drilled down by anypossible characteristic of the standard analysis. You can do this by changing the current drilldownusing the function ’Switch drilldown’.

© SAP AG LO930 3-15

SAP AG 1999

2UGHU�YDOXH

9HQGRUV

90,000

40,000

20 40 60 80

2UGHU�YDOXH

9HQGRUV

100 %

75 %

25 %

50 %

25 %

50 % 75 % 100 %

&XPXODWLYH�)UHTXHQF\�&XUYH

n The Logistics Information System offers additional statistical functions, which allow you to bothdisplay and analyze the data for each level of a list.

n All key figures are displayed for all values of a characteristic in each drilldown level. A cumulativefrequency curve graphically illustrates the distribution of a cumulated key figure value over theexisting characteristic values.

n The cumulative frequency curve can be scaled to represent either percentage or absolute valuesaccording to the selection made in the list upon which the curve is based.

© SAP AG LO930 3-16

SAP AG 1999

V < P

R < P

P < PP�U�YR*T�T�TZP�T�Y+R*T�T�T R*P�Y+R�T�T�T R�R[Y"R*T�T(T R*V�Y+R�T�T(T\P!R[YQV�P(P(P\P(V�YQV�P�P�PZP�]�Y&V�P�P�PZP�^�YQV�P�P�P

V < P

R < P

P < P

0 ��(��

2UGHUTXDQWLW\

2UGHUYDOXH

&RUUHODWLRQ

n Correlation curves depict interrelationships between two or more key figures. When creating thecorrelation diagram, the system observes the sort sequence defined in the underlying list.

n The key figures in the correlation are always standardized to 1.

n When several key figures are correlated, you can place one curve on another curve or scale themseparately.

© SAP AG LO930 3-17

SAP AG 1999

6WUDWHJ\_ �#�� 5 ��#�!� � �` ��<��#A��!� 5 � �&�Fa

E1� 5 ��!�� 1ab �!� 5 � �'a

E�� 5 �!�#�� b �!� 5 ��

� �$��8�9c�!��d �$��8�9c�!��Ge�$��8�9c�!��

125,00040,00030,000

G � 9;<�� 5 �!��!� � �

b �� 5 � �f g h

EK�#��4�� ib �!� 5 �� E)� 5 �!�!��

1030

120

47114712

•

25,00020,000

•

� �@�(8'9j�!�(�$k� ��b �� 5 �� E1� 5 ��!��

$%&�$QDO\VLV

n In the ABC analysis, the values of a characteristic (e.g. vendors) and a particular key figure (e.g.order value) are compared in order to make a classification in three segments.

n Various strategies can be used to set the class limits as characteristic or key figure-specific and aspercentage or absolute values respectively.

n The results are displayed in a cumulative frequency curve with an additional classification into threesegments. The sizes of the segments correspond to the setting made when the strategy was selected.

n The characteristics and key figures assigned to the individual segment levels can either be displayedas an absolute value for each segment, cumulated for all segments in lists, or in graphic form.

n You can choose between a list or a graphic for illustrating the ABC analysis.

© SAP AG LO930 3-18

SAP AG 1999

, � � 3 W � �j�� <��#A'�� (��0 �!� � ��=l��8

�� 9I�� %�#��!�=l��8

` ��<��#A�#�� 5 ��&�

E�� 5 �� 10,000 20,000 30,000 40,000 >

E7��4�� i

GH� �� RGH� �� V

b �� 5 ��4�3090

E%� 5 ��#�#�� 60,000

180,00047114712

•

10,00015,000

•

k� ��A�� (� Rb �!� 5 �� E1� 5 ��!��!� � �

&ODVVLILFDWLRQ

n Classification provides you with an overview of the characteristic values for a key figure. You candefine up to six classes here. You can also organize the class limits to suit your requirements.

n Once again results can be displayed as both lists and presentation graphics. The sequence is preset.

© SAP AG LO930 3-19

SAP AG 1999

k! ��!��(8�9I��b �!� 5 ��

E7�#�!�4�� i- ��#�� (��+�(�� > �

` ��< . � �"�#�!<�� 5 ��R�P�P V�P�P m10,00020,000>

004

080

1200

, � � 3 W � �j��<��#A'�#� ��0 �� !�n�#��!�=o��8

�� &��9c�� 1��=p��8

10,000 20,000 >>

200

100

` ��<��#A��!� 5 ��

` � <��#A . EK�

- �� M��(��! > �

- �� (�(�� > �

` ��<��#A . EL�

47114712 •

15,00018,000 •

180199 •

'XDO�&ODVVLILFDWLRQ

n In dual classification, you can classify the characteristic values of two key figures.

n The navigation and presentation options are identical to those in classification.

© SAP AG LO930 3-20

SAP AG 1999

7LPH�6HULHV


amount

60.00040.000

50.00040.000

M-01M-02

Material

7LPH�VHULHV�,QYRLFHG�DPRXQW04.1997 05.1997

8.0004.000

12.00010.000

M-01M-02

. . . . . . . . 03.1998

. . . . . . .

. . . . . . .20.000

5.000

n From the drilldown list of a characteristic, you can create a time series for any key figure. The periodcorresponds to the predefined period you determined when entering the standard analysis.

© SAP AG LO930 3-21

SAP AG 1999

Edit0DWHULDO�DQDO\VLVVendor Order value Invoiced

amount

30,00070,000

50,00040,000

Vendor 1Vendor 2

.....Comparisons.....

.....

Edit

Planned/actualPrevious/currentTwo key figures

3ODQQHG�DFWXDO�FRPSDULVRQ��2UGHU�YDOXHVendor Planned Actual Difference %Vendor 1Vendor 2

40,00050,000

30,00070,000

- 10,00020,000

25 %40 %

-+.. &RPSDULVRQ�ZLWK�SUHYLRXV�\HDU��2UGHU�YDOXH

Vendor Prev. yr. Current Difference %

..

Vendor 1Vendor 2

50,00050,000

30,00070,000

- 20,00020,000

40 %40 %

-+.. .. .. ..&RPSDULVRQ�NH\�ILJXUH��2UGHU�YDOXH��,QYRLFHG�DPRXQW

Vendor Order value Inv. amt. Difference %

. . . . .Vendor 1Vendor 2

30,00070,000

20,00070,000

- 10,0000,000

33 %0 %

-

&RPSDULVRQV

n At each drilldown level, there are three possibilities to carry out comparisons:

é The current data of a key figure can be compared to the data of a plan version.

é The values of the previous year can be compared to the current data.

é The values of any two key figures can be compared to each other.

n The data compared is always listed in separate windows. You can analyze the listed characteristicseven more precisely by drilling further down by other characteristics.

© SAP AG LO930 3-22

SAP AG 1999

*HQHUDO�,19&2�$QDO\VLVPlant GR

quantityValuatedquantity

10002000 •

5025•

10050

&XVWRPHU�DQDO\VLV�%HFNHU�$*Material Order

quantityIncomingorders

M-01M-02 •

100,000200,000 •

1013

l *RWR��2WKHU�LQIR�VWUXFWXUHq )URP�JHQHUDO�WR�VSHFLILFq )URP�6DOHV�WR�,19&2q )URP�PRQWK�WR�GD\

l $GYDQWDJHV�q *RRG�UHVSRQVH�WLPHq $XWRPDWLF�WUDQVIHU�RI

VHOHFWLRQ�SDUDPHWHUVq 8QUHVWULFWHG�QDYLJDWLRQ�

LQ�/,6

Goto.....Info structure.....

.....

*RWR��2WKHU�,QIR�6WUXFWXUH

n It is possible to call up one standard analysis from another standard analysis.

n This function transfers the selection parameters from the analysis you are already viewing to theanalysis you are calling up. If you have already performed a drilldown by characteristic value orpositioned your cursor on a characteristic value of the calling analysis, this characteristic value istransferred to the analysis you have called up.

n Example 1: You have created a list for your vendor in a purchasing group analysis in purchasing.You are interested in materials for this vendor. The *RWR��!�2WKHU�LQIR�VWUXFW� function allows you tocall up the material analysis in purchasing and analyze the materials for this vendor. Note: Since thepurchasing group is not available as a characteristic in this analysis, it is ignored in the materialanalysis

n Example 2: You have performed a drilldown by customer for the sales organization 1000 in Salesand Distribution and drilled down the customer Becker AG by materials. You are interested in thestocks for a material. The *RWR��!�2WKHU�LQIR�VWUXFW. function allows you to go to the materialanalysis in inventory controlling where you will be provided with information on stocks andmovements for the material. Since the materials analysis in INVCO does not contain any datarelating to sales organizations and customers, both characteristic values are ignored.

n Example 3: If you switch from a highly-aggregated information structure (one that is updatedmonthly, for example) to a detailed information structure with a smaller period unit, the selectedperiods are converted. For example: -DQXDU\��$SULO��becomes -DQXDU\��$SULO��.

© SAP AG LO930 3-23

SAP AG 1999


amount

60,00040,000

50,00040,000

M-01M-02

0DWHULDODQG�YHQGRUPDVWHU�GDWD

0DWHULDODQG�YHQGRUPDVWHU�GDWD

...Extras.....

Master data

..... Doc.information

rs

32

rs

32

rs

32

0DVWHU�'DWD�DQG�'RFXPHQWV

n Using list displays, you can call up the relevant master data and documents from the various standardanalyses in the Logistics Information System.

n The selection parameters of the calling analysis are transferred to the relevant reports.

n You can call up certain resident documents depending on the data basis in the relevant info structure.(For example: Material analysis in purchasing -> Order documents)

n The relevant master data depends on the characteristics that can be selected in the analysis (Forexample: Material analysis in purchasing -> Material and vendor master).

© SAP AG LO930 3-24

SAP AG 1999

6WDQGDUG�GULOOGRZQ�

3UHVHOHFWLRQ�RI�NH\�ILJXUHV

'HIDXOW�VHOHFWLRQ�SHULRG

�

�

�,QLWLDO�JUDSKLF�\HV��QR'ULOOGRZQ�ORJ�LQ�SDJH�KHDGHU:LGWK�RI�FKDU��NH\�ILJXUH�FROXPQ'LVSOD\�FKDUDFWHULVWLF�DV�WH[W�QXPEHU

8VHU�VSHFLILF�VHWWLQJV�SHU�DQDO\VLV�8VHU�VSHFLILF�VHWWLQJV�SHU�DQDO\VLV�

/LVW�SDUDPHWHUV

'HIDXOW�6HWWLQJV

n In every standard analysis, you can make default settings which are valid for every user. In addition,these default settings can be covered by user-specific settings.

n You can make default settings for the standard drilldown, a preselection of key figures, the defaultvalue of the selection period, and various list parameters in order to design the list layout.

n Afterwards, you can still change the selection of key figures and the design of the list layout in thestandard analysis.

© SAP AG LO930 3-25

SAP AG 1999

l $FFHVV��H[HFXWH��DQG�QDYLJDWH�VWDQGDUG�DQDO\VLVOLVWV

l 8VH�YDULDQWV�ZKHQ�VHOHFWLQJl 'HILQH�GHIDXOW�VHWWLQJV�DQG�VWDWLVWLFDO�IXQFWLRQV


6WDQGDUG�$QDO\VHV�LQ�/,6��6XPPDU\

© SAP AG LO930 3-26

([HUFLVHVStandard Analyses in LIS

8QLW��6WDQGDUG�$QDO\VHV�LQ�/,67RSLF��1DYLJDWLQJ�LQ�6WDQGDUG�$QDO\VLV

• Access, execute, and navigate standard analysis lists.

• Use variants when selecting

• Define default settings and statistical functions

Your company has decided to analyze the relationships with other firms,specifically vendors and customers.


The purchasing department would like to analyze the purchasing data inorder to determine the vendors with which your company does the mostbusiness.

© SAP AG LO930 3-27

1-1 Using the vendor standard analysis in the Purchasing Information System, create alist of vendors with whom you have done business for the past six months,including this month.

Note the default key figures may vary, depending on the menu path youchoose. For these exercises, use a menu path from the /RJLVWLFV menu,not from the ,QIRUPDWLRQ�6\VWHPV menu.

1-1-1 To see which vendors you are ordering from the most, sort the list indescending order based on the key figure 2UGHU�YDOXH.

1-1-2 Change the characteristic display to include the key and the description.

You may want to change the column width for the characteristic to seemore information.

1-1-3 You are interested in seeing which materials were ordered from your topvendor. Using the standard drilldown path, drill down to the materials forthe first vendor in the list.

1-1-4 Change the analysis currency to 86'. Use exchange rate type 0 and thecurrent conversion date.

1-1-5 Return to the vendor level of the analysis. What do you notice about thedisplay?

1-1-6 You want to perform a new analysis. Cancel the sort order at the vendorlevel.

© SAP AG LO930 3-28

1-1-7 Now you are interested in seeing only the top 10 vendors based on the keyfigure LQYRLFHG�DPRXQW. Display only these 10 vendors.

1-1-8 You want to see what percentage of your business is conducted with thesevendors. Change the value display to "percent".

1-1-9 In order to see how consistent you have been with your top vendor duringthe past six months, drill down to month for the first vendor on the list. Todo this, do not use the standard drilldown path, but go directly to the month.

1-1-10 You now are interested in which materials you ordered from this vendor inthe highest order month. To do this, go directly to the "material" instead ofusing the standard drilldown path. Drill down to the materials for the monthwith the highest percent of total order value.

1-1-11 You want to see the number of purchase order items for the material youhave ordered most. Display all the key figures for that material. Look for thekey figure 32�LWHPV�

1-1-12 You have decided you want to see the number of purchase order items forall the materials displayed. Therefore, you want to add this key figure toyour list.

1-1-13 Return to the vendor level of the analysis. What are the two ways to returnto this level? Note: You will lose the key figure you added to your list.

© SAP AG LO930 3-29

1-2 To continue your analysis of your top vendors, you will use some of the graphicstools within standard analysis.

To make the graphics more informative, also change the value displayback from "percent" to "absolute".

Also, change the characteristic display back to description only. This willaffect the text on the graphic.

Change the standard analysis list to display a single analysis currency.You can choose the currency.

1-2-1 You want to perform an ABC analysis, displaying how many vendors makeup the top 70% of what you buy, the next 20%, and the last 10%. Use the"Order value" key figure for this analysis. Use the "Total order value (%)"strategy.

1. The graphic displays the number of vendors associated with thatproportion of order value.

2. Display the overview of this analysis (overview of segments). See howmany vendors make up each segment of your order value.

3. Look at the list of the vendors that comprise the top 70% of yourpurchases (the A segment).

1-2-2 You want to see if there is a relationship between the value of the purchaseorders you place with your vendors and the number of items. You will usedual classification for this analysis.

Your list should include the key figure 32�LWHPV for this analysis.

The initial display uses certain default values for the class limits. Change theclass limits to the following:

1. 3 classes

2. Upper limits of order value: choose new defaults.

3. Upper limits of order items: choose new defaults.

From the graphic, display the overview of the segments.

© SAP AG LO930 3-30

1-3 Continuing your vendor analysis, you want to see the relationship between thequantity of orders and the quantity of invoices from your top vendor.

1-3-1 Execute again, a Top 10 analysis of your list of vendors. Starting from yourfirst vendor, drill down to the material level.

Choose 2UGHU�TXDQWLW\�and ,QYRLFHG�TXDQWLW\ for your key figurescomparison and graphic.

To see the graphics a little easier, maximize the display.

1-3-2 SAP Business Graphics display a 3D bar chart by default. You are,however, interested in seeing the data in a pie chart format.

1. Before you display the pie chart, you must select 3LH�FKDUW from the 2Doptions list.

2. Once you have applied the pie chart option, you can go to the 2D viewoption from the Goto menu.

1-3-3 With the 2D view, the system defaults to a graphic for the first key figureyou selected. To see both key figures, go to the group view.

1-3-4 To see both the 3D bar chart and the 2D pie charts, you can display anoverview of your graphics.

When you are finished, use the green or yellow arrow to return to standardanalysis. Return to the vendor level of your analysis.

© SAP AG LO930 3-31

1-4 Now that you have analyzed the summarized information for your top vendor, youwant to see the documents that contain this information.

1-4-1 Using the top vendor, describe how to go directly to the vendor’s address.

1-4-2 Using the top vendor, describe how to display the documents for a vendor,directly from standard analysis.

1-5 Execute a standard analysis for the 0DWHULDO, create a list of materials for thematerials used in this class: 0�� through 0��. Also include materials 3�� and3��. Analyze the activities of the past three months, including the current month.

1-5-1 Since you regularly use these selections, save these settings as a variant.

1-5-2 Return to the main PURCHIS menu. Execute the analysis again, using thevariant.

1-6 You would now like to define your own default settings for the Vendor analysis.

1-6-1 You would like a drilldown in the order 9HQGRU��0DWHULDO�*URXS�0DWHULDO� and 0RQWK�

1-6-2 In addition to the default key figures, you also require the key figure 32LWHPV. All key figures should be displayed without decimal places.

1-6-3 Normally you view VL[�PRQWKV of data in a specific currency (of yourchoice). The characteristic key and description should be displayed. You,therefore, need a characteristic column width of 30.

User settings only apply to this analysis. If these settings are required fora different analysis, they must be defined for that individual analysis.

If all users require these settings, you can define these in Customizing.

© SAP AG LO930 3-32


• Access, execute, and navigate standard analysis lists.

• Use variants when selecting

• Define default settings and statistical functions

Your company has decided to analyze the relationships with other firms,specifically vendors and customers.

There are groups of exercises for this unit. This second set applies to the6DOHV�,QIRUPDWLRQ�6\VWHP.


The sales department would like to analyze the sales data in order todetermine the customers with which your company does the mostbusiness.

2-1 Using the customer standard analysis in the Sales Information System, create a listof customers with whom you have done business for the past six months, includingthis month.


2-1-1 To see which customers you are ordering from the most, sort the list indescending order based on the key figure ,QFRPLQJ�RUGHUV.

© SAP AG LO930 3-33



2-1-3 You want to know which materials were ordered by your top customer.Using the standard drilldown path, drill down to the materials for the firstcustomer in the list.

2-1-4 Change the analysis currency to 86'. Use exchange rate type 0 and thecurrent conversion date.

2-1-5 Return to the customer level of the analysis. What do you notice about thedisplay?

2-1-6 You want to perform a new analysis. Cancel the sort order at the customerlevel.

2-1-7 Now you are interested in seeing only the top 10 customers based on the keyfigure ,QFRPLQJ�RUGHUV. Display only these 10 customers.

2-1-8 You want to see what percentage of your business is conducted with thesecustomers. Change the value display to "percent".

2-1-9 In order to see how consistent you have been with your top customer duringthe past six months, drill down to month for the first customer on the list. Todo this, do not use the standard drilldown path, but go directly to the month.

© SAP AG LO930 3-34

2-1-10 You are now interested in which materials this customer ordered in themonth with the highest order value. To do this, go directly to the "material"instead of using the standard drilldown path. Drill down to the materials forthe month with the highest percent of total incoming orders.

2-1-11 You want to see the invoiced quantity for the material ordered most by thecustomer. Display all the key figures for that material. Look for the keyfigure ,QYRLFHG�TXDQWLW\.

2-1-12 You have decided you want to see the invoiced quantity for all the materialsdisplayed. Therefore, you want to add this key figure to your list. You mayneed to deselect existing key figures, since the screen width may beinsufficient to display all required key figures.

2-1-13 Return to the sold-to-party level of the analysis. What are the two ways toreturn to this level? Note: You will lose the key figure you added to yourlist.

© SAP AG LO930 3-35

2-2 To continue your analysis of top customers, you will use some of the graphics toolswithin standard analysis.


Also, change the characteristic display back to key only.


2-2-1 You want to perform an ABC analysis, displaying how many customersmake up the top 70% of what you sell, the next 20% and the last 10%. Usethe ,QFRPLQJ�RUGHUV key figure for this analysis. Use the "Total incomingorders" (%) strategy.

1. The graphic displays the number of customers that are associated withthat proportion of incoming orders.

2. Display the overview of this analysis (overview of segments). See howmany customers make up each segment of your sales.

3. Look at the list of the customers that comprise the top 70% of your sales(the A segment).

2-2-2 You want to see if there is a relationship between the incoming orders valueand the number of order items from your customers. You will use dualclassification for this analysis.

Your list should include the key figure 2UGHU�LWHPV for this analysis.

The initial display uses certain default values for the class limits. Change theclass limits to the following:

1. 3 classes

2. Upper limits of incoming orders: choose new defaults.


From the graphic, display the overview of the segments.

© SAP AG LO930 3-36

2-3 Continuing your customer analysis, you want to see the relationship between thevalue of orders and the value of invoices from your top customers.

2-3-1 Execute again a Top 10 analysis of your list of customers. From your firstcustomer, drill down to material level.

For your graphic, select ,QFRPLQJ�RUGHUV and 6DOHV.

2-3-2 SAP Business Graphics display a 3D bar chart by default. You are,however, interested in seeing the data in a 2D bar chart format.

1. Before you display the bar chart, you must select EDU�FKDUW from the 2Doptions list.

2. Once you have applied the "Horizontal bars" option, you can go to the2D view option from the Goto menu.



2-3-4 To see both the 3D vertical bar chart and 2D horizontal bar chart, you candisplay an overview of your graphics.

When you are finished, use the green or yellow arrow to return to standardanalysis. Return to the customer level of your analysis.

© SAP AG LO930 3-37

2-4 Now that you have analyzed the summarized information for your top customer,you want to see the documents that contain this information.

2-4-1 Using the top customer, describe how to go directly to the customer’saddress.

2-4-2 Using the top customer, describe how to display the transactions for acustomer, directly from standard analysis.

2-5 Execute a standard analysis for the PDWHULDO; create a list of materials for thosematerials used in this class: 0�� to 0��. Also include materials 3�� and 3��. Analyze the activities of the past three months, including the current month.


2-5-2 Return to the main SIS menu. Execute the analysis again, using the variant.

2-6 You would now like to define your own default settings for the sales employeeanalysis.

2-6-1 You would like a drilldown in the order 6DOHV�UHSUHVHQWDWLYH��6DOHVRUJDQL]DWLRQ��6ROG�WR�SDUW\��0DWHULDO and 0RQWK�

2-6-2 In addition to the default key figures, you also require the key figure 2UGHULWHPV. All key figures should be displayed without decimal places.


User settings only apply to this analysis. If these settings are required fora different analysis, they must be defined for that individual analysis.


© SAP AG LO930 3-38

6ROXWLRQV



The purchasing department would like to analyze the purchasing data inorder to determine the vendors with which your company does the mostbusiness.

1-1 Using the vendor standard analysis in the Purchasing Information System, create alist of vendors with whom you have done business for the past six months,including this month.

7KHUH�DUH�YDULRXV�ZD\V�RI�FDOOLQJ�XS�WKH�VWDQGDUG�DQDO\VHV�/RJLVWLFV�→�/RJLVWLFV�&RQWUROOLQJ�→�3XUFKDVLQJ�,QIRUPDWLRQ�6\VWHP�→6WDQGDUG�DQDO\VHV�→�9HQGRU��GRXEOH�FOLFN�/RJLVWLFV�→�0DWHULDOV�0DQDJHPHQW�→�3XUFKDVLQJ�→�3XUFKDVH�2UGHU�→5HSRUWLQJ�→�3XUFKDVLQJ�,QIRUPDWLRQ�6\VWHP�→�6WDQGDUG�DQDO\VHV�→�9HQGRU�GRXEOH�FOLFN�,QIRUPDWLRQ�6\VWHPV�→�/RJLVWLFV�→�3XUFKDVLQJ�→�9HQGRU�→�3XUFKDVLQJ�YDOXHV/HDYH�WKH�VHOHFWLRQ�FULWHULD�IRU�WKH�FKDUDFWHULVWLFV�EODQN��7KLV�ZLOO�HQVXUH�\RXVHOHFW�DOO�YDOXHV�(QWHU�D�SHULRG�UDQJH�WR�LQFOXGH�WKH�SDVW�VL[�PRQWKV�([HFXWH�


© SAP AG LO930 3-39

1-1-1 To see which vendors you are ordering from the most, sort the list indescending order based on the key figure 2UGHU�YDOXH.

&OLFN�RQFH�RQ�WKH�NH\�ILJXUH��2UGHU�YDOXH��9LHZ�→�6RUW�LQ�GHVFHQGLQJ�RUGHU



6HWWLQJV�→�&KDUDFWHULVWLF�GLVSOD\�→�.H\�DQG�GHVFULSWLRQ6HWWLQJV�→�&ROXPQ�ZLGWK�→�&KDUDFWHULVWLF$OWHUQDWLYH�SRVVLELOLW\��'RXEOH�FOLFN�WKH�FROXPQ�KHDGLQJ�(QWHU�D�FROXPQ�ZLGWK�RI��

1-1-3 You are interested in seeing which materials were ordered from your topvendor. Using the standard drilldown path, drill down to the materials forthe first vendor in the list.

'RXEOH�FOLFN�RQ�WKH�ILUVW�YHQGRU�1-1-4 Change the analysis currency to 86'. Use exchange rate type 0 and the

current conversion date.

6HWWLQJV�→�&XUUHQF\�→�$QDO\VLV�FXUUHQF\1-1-5 Return to the vendor level of the analysis. What do you notice about the

display?

�� 7KH�DQDO\VLV�FXUUHQF\�LV�WKH�RULJLQDO�FXUUHQF\��&KDQJLQJ�WKH�VHWWLQJVRQO\�DIIHFWV�WKH�OHYHO�\RX�DUH�ZRUNLQJ�RQ�DQG�EHORZ��,W�GRHV�QRWFKDQJH�IRU�WKH�KLJKHU�OHYHOV��7KHUHIRUH��WR�KDYH�FRQVLVWHQW�VHWWLQJV�LQ\RXU�DQDO\VLV��PDNH�WKH�VHWWLQJV�DW�WKH�KLJKHVW�OHYHO�EHIRUH�GULOOLQJGRZQ�

�� 7KH�VRUW�E\�RUGHU�YDOXH�LV�VWLOO�DFWLYH�ZKHQ�UHWXUQLQJ�WR�WKH�XSSHU�OHYHO�1-1-6 You want to perform a new analysis. Cancel the sort order at the vendor

level.

9LHZ�→�&DQFHO�VRUW

© SAP AG LO930 3-40

1-1-7 Now you are interested in seeing only the top 10 vendors based on the keyfigure LQYRLFHG�DPRXQW. Display only these 10 vendors.

&OLFN�RQFH�RQ�WKH�NH\�ILJXUH��,QYRLFHG�DPRXQW��9LHZ�→�7RS�1(QWHU�WKH�QXPEHU��

1-1-8 You want to see what percentage of your business is conducted with thesevendors. Change the value display to "percent".

6HWWLQJV�→�9DOXH�GLVSOD\�→�3HUFHQW1-1-9 In order to see how consistent you have been with your top vendor during

the past six months, drill down to month for the first vendor on the list. Todo this, do not use the standard drilldown path, but go directly to the month.

6HOHFW�WKH�ILUVW�YHQGRU�9LHZ�→�'ULOO�GRZQ�E\�→�0RQWK

1-1-10 You now are interested in which materials you ordered from this vendor inthe highest order month. To do this, go directly to the "material" instead ofusing the standard drilldown path. Drill down to the materials for the monthwith the highest percent of total order value.

9LHZ�→�'ULOO�GRZQ�E\�→�0DWHULDO1-1-11 You want to see the number of purchase order items for the material you

have ordered most. Display all the key figures for that material. Look for thekey figure 32�LWHPV�'RXEOH�FOLFN�RQ�WKH�YDOXH�RI�WKH�32�NH\�ILJXUH�IRU�WKH�PDWHULDO�ZLWK�WKHKLJKHVW�RUGHU�YDOXH�

1-1-12 You have decided you want to see the number of purchase order items forall the materials displayed. Therefore, you want to add this key figure toyour list.

(GLW�→�&KRRVH�NH\�ILJXUHV2Q�WKH�ULJKW�VLGH�RI�WKH�GLVSOD\��VFUROO�GRZQ�XQWLO�\RX�ILQG��32�LWHPV��6HOHFW�WKLV�ILHOG�E\�FOLFNLQJ�RQFH�RQ�WKDW�OLQH��3UHVV�WKH�OHIW�DUURZ�FKRRVHEXWWRQ��7KH�ILHOG�ZLOO�PRYH�IURP�WKH�ULJKW�WR�WKH�OHIW�RI�WKH�GLVSOD\�&KRRVH�>&RQWLQXH�(QWHU@�

1-1-13 Return to the vendor level of the analysis. What are the two ways to returnto this level? Note: You will lose the key figure you added to your list.

�� 8VH�WKH�JUHHQ�DUURZ�WR�JR�EDFN�WZR�OHYHOV�� 8VH�WKH�PHQX�SDWK�9LHZ�→�%DVLF�OLVW�

© SAP AG LO930 3-41

1-2 To continue your analysis of your top vendors, you will use some of the graphicstools within standard analysis.


Also, change the characteristic display back to description only. This willaffect the text on the graphic.


1-2-1 You want to perform an ABC analysis, displaying how many vendors makeup the top 70% of what you buy, the next 20%, and the last 10%. Use the"Order value" key figure for this analysis. Use the "Total order value (%)"strategy.

6HOHFW�WKH��2UGHU�YDOXH��NH\�ILJXUH�E\�FOLFNLQJ�RQFH�DW�WKH�WRS�RI�WKHFROXPQ�(GLW�→�$%&�DQDO\VLV6HOHFW�WKH�VWUDWHJ\�7RWDO�2UGHU�YDOXH��$V�VHJPHQW�VL]HV��VHOHFW��DQG��WKHVH�VKRXOG�EH�WKH�GHIDXOWYDOXHV��1. The graphic displays the number of vendors associated with that

proportion of order value.

2. Display the overview of this analysis (overview of segments). See howmany vendors make up each segment of your order value.

&OLFN�RQ��2YHUYLHZ�RI�VHJPHQWV��RQ�WKH�ULJKW�VLGH�RI�WKH�JUDSKLF��7KLVZLOO�GLVSOD\�HDFK�VHJPHQW��$��%��DQG�&��WKH�QXPEHU�RI�YHQGRUV�WKDWFRPSULVH�HDFK�VHJPHQW��DQG�WKH�WRWDO�RUGHU�YDOXH�LQ�HDFK�VHJPHQW�

3. Look at the list of the vendors that comprise the top 70% of yourpurchases (the A segment).

<RX�FDQ�HLWKHU�� 6HOHFW�WKH�$�VHJPHQW��7KHQ�SUHVV�'HWDLOV�2U�� 5HWXUQ�WR�WKH�JUDSKLF�ZLWK�,QLWLDO�JUDSKLF�V��WKHQ�SUHVV��/LVW��$

VHJPHQW��RQ�WKH�ULJKW�VLGH�RI�WKH�JUDSKLF�7R�H[LW�WKH�$%&�DQDO\VLV�DQG�UHWXUQ�WR�\RXU�YHQGRU�OLVW��SUHVV�WKH\HOORZ�DUURZ�

© SAP AG LO930 3-42

1-2-2 You want to see if there is a relationship between the value of the purchaseorders you place with your vendors and the number of items. You will usedual classification for this analysis.

Your list should include the key figure 32�LWHPV for this analysis.

7R�DGG�WKH�NH\�ILJXUH�(GLW�→�&KRRVH�NH\�ILJXUHV2Q�WKH�ULJKW�VLGH�RI�WKH�GLVSOD\��VFUROO�GRZQ�XQWLO�\RX�ILQG��32�LWHPV��6HOHFW�WKLV�ILHOG�E\�FOLFNLQJ�RQFH�RQ�WKDW�OLQH��3UHVV�WKH�OHIW�DUURZ�FKRRVHEXWWRQ��7KH�ILHOG�ZLOO�PRYH�IURP�WKH�ULJKW�WR�WKH�OHIW�RI�WKH�GLVSOD\�&KRRVH�>&RQWLQXH�(QWHU@�7R�XVH�GXDO�FODVVLILFDWLRQ�(GLW�→�'XDO�FODVV6HOHFW��2UGHU�YDOXH��DQG��32�LWHPV��7KLV�JUDSKLF�VKRZV�WKH�QXPEHU�RI�YHQGRUV�ZLWK�ZKRP�\RX�KDYH�SODFHGRUGHUV�LQ�D�FHUWDLQ�YDOXH�UDQJH��ZLWK�WKH�QXPEHU�RI�LWHPV�DOVR�ZLWKLQ�DFHUWDLQ�UDQJH�The initial display uses certain default values for the class limits. Change theclass limits to the following:

1. 3 classes

2. Upper limits of order value: choose new defaults.


&OLFN��&ODVV�OLPLWV��RQ�WKH�ULJKW�RI�WKH�JUDSKLF�From the graphic, display the overview of the segments.

&OLFN��2YHUYLHZ�RI�VHJPHQWV��RQ�WKH�ULJKW�RI�WKH�JUDSKLF�<RX�FDQ�UHWXUQ�WR�WKH�JUDSKLF�E\�SUHVVLQJ��,QLWLDO�JUDSKLF�V��([LW�WKHGXDO�FODVVLILFDWLRQ�DQDO\VLV�E\�SUHVVLQJ�WKH�\HOORZ�DUURZ�

© SAP AG LO930 3-43

1-3 Continuing your vendor analysis, you want to see the relationship between thequantity of orders and the quantity of invoices from your top vendor.

1-3-1 Execute again, a Top 10 analysis of your list of vendors. Starting from yourfirst vendor, drill down to the material level.

Choose 2UGHU�TXDQWLW\�and ,QYRLFHG�DPRXQW for your key figurescomparison and graphic.

&OLFN�RQFH�RQ�WKH�RUGHU�TXDQWLW\�(GLW�→�&RPSDULVRQV�→�7ZR�NH\�ILJXUHV6HOHFW��,QYRLFHG�TXDQWLW\��&KRRVH�>(QWHU@�7KH�NH\�ILJXUH�FRPSDULVRQ�OLVW�LV�GLVSOD\HG�&KRRVH�>*UDSKLFV@�


1-3-2 SAP Business Graphics display a 3D bar chart by default. You are,however, interested in seeing the data in a pie chart format.

1. Before you display the pie chart, you must select 3LH�FKDUW from the 2Doptions list.

2SWLRQV�→��'�RSWLRQV2. Once you have applied the pie chart option, you can go to the 2D view

option from the Goto menu.

2SWLRQV�→��'�RSWLRQV1-3-3 With the 2D view, the system defaults to a graphic for the first key figure

you selected. To see both key figures, go to the group view.

*RWR�→�*URXSV�YLHZ1-3-4 To see both the 3D bar chart and the 2D pie charts, you can display an

overview of your graphics.

*RWR�→�2YHUYLHZWhen you are finished, use the green or yellow arrow to return to standardanalysis. Return to the vendor level of your analysis.

© SAP AG LO930 3-44

1-4 Now that you have analyzed the summarized information for your top vendor, youwant to see the documents that contain this information.

1-4-1 Using the top vendor, describe how to go directly to the vendor’s address.

6HOHFW�WKH�YHQGRU�E\�FOLFNLQJ�LW�RQFH�8VH�WKH�PHQX�SDWK�([WUDV�→�0DVWHU�GDWD�→�9HQGRU�PDVWHU6SHFLI\�SXUFKDVLQJ�RUJDQL]DWLRQ��2QFH�\RX�KDYH�GLVSOD\HG�WKH�YHQGRU�PDVWHU�GDWD��XVH�WKH�JUHHQ�RU�\HOORZDUURZ�WR�UHWXUQ�WR�WKH�VWDQGDUG�DQDO\VLV�

1-4-2 Using the top vendor, describe how to display the documents for a vendor,directly from standard analysis.

6HOHFW�WKH�YHQGRU�E\�FOLFNLQJ�LW�RQFH�8VH�WKH�PHQX�SDWK�([WUDV�→�'RFXPHQW�LQIRUPDWLRQ�→�%\�YHQGRU(QWHU��3XUFKDVLQJ�RUJDQL]DWLRQ��DQG��6FRSH�RI�OLVW��%(67�SXUFKDVH�RUGHUV��<RX�FDQ�VHOHFW�DGGLWLRQDO�FULWHULD�LI�\RX�ZRXOG�OLNH�>([HFXWH@�:KHQ�WKH�OLVW�DSSHDUV��VHOHFW�WKH�GRFXPHQW�E\�GRXEOH��FOLFNLQJ�RQ�WKHUHOHYDQW�OLQH��3UHVV�'LVSOD\�GRFXPHQW��)��RU�XVH�WKH�PHQX�SDWK(QYLURQPHQW�→�'LVSOD\�GRFXPHQW��$OWHUQDWLYHO\��GRXEOH�FOLFN�RQ�WKHUHOHYDQW�OLQH�2QFH�\RX�KDYH�GLVSOD\HG�WKLV�LQIRUPDWLRQ��XVH�WKH�JUHHQ�RU�\HOORZ�DUURZWR�UHWXUQ�WR�WKH�VWDQGDUG�DQDO\VLV�

© SAP AG LO930 3-45

1-5 Execute a standard analysis for the 0DWHULDO, create a list of materials for thematerials used in this class: 0�� through 0��. Also include materials 3�� and3��. Analyze the activities of the past three months, including the current month.

/RJLVWLFV�→�0DWHULDOV�0DQDJHPHQW�→�3XUFKDVLQJ�→�3XUFKDVH�2UGHU�→5HSRUWLQJ�→�3XUFKDVLQJ�,QIRUPDWLRQ�6\VWHP�→�6WDQGDUG�DQDO\VHV�→�0DWHULDO�GRXEOH�FOLFN�2Q�WKH�VHOHFWLRQ�VFUHHQ��VHOHFW�WKH�>0XOWLSOH�VHOHFWLRQ@�DUURZ�IRU�WKH�0DWHULDO�,Q�WKH�VLQJOH�YDOXH�VHOHFWLRQV��HQWHU�3��DQG�3��,Q�WKH�UDQJHV�VHOHFWLRQ��HQWHU�0��WR�0��&RS\�\RXU�HQWULHV�WR�WKH�VHOHFWLRQ�RSWLRQV�LQ�WKH�LQLWLDO�VFUHHQ�2Q�WKH�LQLWLDO�VHOHFWLRQ�VFUHHQ��WKH�>0XOWLSOH�VHOHFWLRQ@�DUURZ�LV�KLJKOLJKWHG�


*RWR�→�9DULDQWV�→�6DYH�DV�YDULDQW(QWHU�\RXU�JURXS�QDPH��/2��DQG�GHVFULSWLRQ��7KH�UHPDLQGHU�RI�WKHLQIRUPDWLRQ�DSSOLHV�WR�EDFNJURXQG�SURFHVVLQJ�DQG�QHHG�QRW�EH�FRPSOHWHGIRU�WKLV�H[HUFLVH�6DYH�WKHVH�VHWWLQJV�

1-5-2 Return to the main PURCHIS menu. Execute the analysis again, using thevariant.

*RWR�→�9DULDQWV�→�*HW6HOHFW�\RXU�YDULDQW�QDPH�7KH�VHWWLQJV�GHILQHG�LQ�WKH�YDULDQW�ZLOO�QRZ�EH�GLVSOD\HG�

© SAP AG LO930 3-46

1-6 You would now like to define your own default settings for the Vendor analysis.

/RJLVWLFV�→�0DWHULDOV�0DQDJHPHQW�→�3XUFKDVLQJ�→�3XUFKDVH�2UGHU�→5HSRUWLQJ�→�3XUFKDVLQJ�,QIRUPDWLRQ�6\VWHP�→�6WDQGDUG�DQDO\VHV�→�9HQGRU�GRXEOH�FOLFN�1-6-1 You would like a drilldown in the order 9HQGRU��0DWHULDO�*URXS�

0DWHULDO� and 0RQWK�2Q�WKH�LQLWLDO�VFUHHQ��FKRRVH�>8VHU�6HWWLQJV@�(QWHU�\RXU�JURXS�QDPH��/2��&OLFN�RQ�>&KRRVH�FKDUDFWHULVWLFV@2Q�WKH�ULJKW�VLGH�RI�WKH�GLVSOD\��VHOHFW��0DWHULDO�JURXS��3UHVV�WKH�OHIWDUURZ�FKRRVH�EXWWRQ��7KH�ILHOG�ZLOO�PRYH�IURP�WKH�ULJKW�VLGH�RI�WKH�GLVSOD\WR�WKH�OHIW�VLGH�RI�WKH�GLVSOD\�6HOHFW��0DWHULDO�JURXS��&KRRVH�WKH�ILHOG�\RX�ZDQW�WR�PRYH��0DWHULDOJURXS��DERYH��&KRRVH�>0RYH@�WKHQ�>&RQWLQXH@�

1-6-2 In addition to the default key figures, you also require the key figure 32LWHPV. All key figures should be displayed without decimal places.

&KRRVH�>.H\�ILJXUHV@�&OLFN�RQ�>&KRRVH�NH\�ILJXUHV@2Q�WKH�ULJKW�VLGH�RI�WKH�GLVSOD\��VHOHFW��32�LWHPV��3UHVV�WKH�OHIWDUURZ�FKRRVH�EXWWRQ��7KH�ILHOG�ZLOO�PRYH�IURP�WKH�ULJKW�VLGH�RI�WKH�GLVSOD\WR�WKH�OHIW�VLGH�RI�WKH�GLVSOD\�6HOHFW�QR�GHFLPDO�SODFHV�IRU�DOO�NH\�ILJXUHV�


&KRRVH�>3DUDPHWHUV@�(QWHU��DV�WKH�QXPEHU�RI�SUHYLRXV�SHULRGV��6HOHFW�>:LWK�FXUUHQW�SHULRG@(QWHU�\RXU�UHTXLUHG�FXUUHQF\�LQ��$QDO\VLV�FXUUHQF\��6HOHFW��.H\�DQG�GHVFULSWLRQ��'HILQH�D�FKDUDFWHULVWLF�FROXPQ�ZLGWK�RI��6DYH�WKHVH�VHWWLQJV�User settings only apply to this analysis. If these settings are required fora different analysis, they must be defined for that individual analysis.


© SAP AG LO930 3-47




The sales department would like to analyze the sales data in order todetermine the customers with which your company does the mostbusiness.

2-1 Using the customer standard analysis in the Sales Information System, create a listof customers with whom you have done business for the past six months, includingthis month.

7KHUH�DUH�YDULRXV�ZD\V�RI�FDOOLQJ�XS�WKH�VWDQGDUG�DQDO\VHV�/RJLVWLFV�→�/RJLVWLFV�&RQWUROOLQJ�→�6DOHV�,QIRUPDWLRQ�6\VWHP�→�6WDQGDUGDQDO\VHV�→�&XVWRPHU��GRXEOH�FOLFN�/RJLVWLFV�→�6DOHV�DQG�'LVWULEXWLRQ�→�6DOHV�,QIRUPDWLRQ�6\VWHP�→�6WDQGDUGDQDO\VHV�→�&XVWRPHU��GRXEOH�FOLFN�,QIRUPDWLRQ�6\VWHPV�→�/RJLVWLFV�→�6DOHV�DQG�GLVWULEXWLRQ�→�&XVWRPHU�→,QFRPLQJ�RUGHUV/HDYH�WKH�VHOHFWLRQ�FULWHULD�IRU�WKH�FKDUDFWHULVWLFV�EODQN��7KLV�ZLOO�HQVXUH�\RXVHOHFW�DOO�YDOXHV�(QWHU�D�SHULRG�UDQJH�WR�LQFOXGH�WKH�SDVW�VL[�PRQWKV�([HFXWH�


© SAP AG LO930 3-48

2-1-1 To see which customers you are ordering from the most, sort the list indescending order based on the key figure ,QFRPLQJ�RUGHUV.&OLFN�RQFH�RQ�WKH�NH\�ILJXUH��,QFRPLQJ�RUGHUV��9LHZ�→�6RUW�LQ�GHVFHQGLQJ�RUGHU



6HWWLQJV�→�&KDUDFWHULVWLF�GLVSOD\�→�.H\�DQG�GHVFULSWLRQ6HWWLQJV�→�&ROXPQ�ZLGWK�→�&KDUDFWHULVWLF$OWHUQDWLYH�SRVVLELOLW\��'RXEOH�FOLFN�WKH�FROXPQ�KHDGLQJ�(QWHU�D�FROXPQ�ZLGWK�RI��

2-1-3 You want to know which materials were ordered by your top customer.Using the standard drilldown path, drill down to the materials for the firstcustomer in the list.

'RXEOH�FOLFN�WKH�ILUVW�FXVWRPHU��'ULOO�GRZQ�XQWLO�\RX�UHDFK�WKH�PDWHULDO�2-1-4 Change the analysis currency to 86'. Use exchange rate type 0 and the

current conversion date.

6HWWLQJV�→�&XUUHQF\�→�$QDO\VLV�FXUUHQF\2-1-5 Return to the customer level of the analysis. What do you notice about the

display?

�� 7KH�DQDO\VLV�FXUUHQF\�LV�WKH�RULJLQDO�FXUUHQF\��&KDQJLQJ�WKH�VHWWLQJVRQO\�DIIHFWV�WKH�OHYHO�\RX�DUH�ZRUNLQJ�RQ�DQG�EHORZ��,W�GRHV�QRWFKDQJH�IRU�WKH�KLJKHU�OHYHOV��7KHUHIRUH��WR�KDYH�FRQVLVWHQW�VHWWLQJV�LQ\RXU�DQDO\VLV��PDNH�WKH�VHWWLQJV�DW�WKH�KLJKHVW�OHYHO�EHIRUH�GULOOLQJGRZQ�

�� 7KH�VRUW�E\�LQFRPLQJ�RUGHUV�LV�VWLOO�DFWLYH�ZKHQ�UHWXUQLQJ�WR�WKH�XSSHUOHYHO�

2-1-6 You want to perform a new analysis. Cancel the sort order at the customerlevel.

9LHZ�→�&DQFHO�VRUW2-1-7 Now you are interested in seeing only the top 10 customers based on the key

figure ,QFRPLQJ�RUGHUV. Display only these 10 customers.

6HOHFW�WKH��,QFRPLQJ�RUGHUV��NH\�ILJXUH�E\�FOLFNLQJ�RQFH�DW�WKH�WRS�RI�WKHFROXPQ�9LHZ�→�7RS�1(QWHU�WKH�QXPEHU��

© SAP AG LO930 3-49

2-1-8 You want to see what percentage of your business is conducted with thesecustomers. Change the value display to "percent".

6HWWLQJV�→�9DOXH�GLVSOD\�→�3HUFHQW2-1-9 In order to see how consistent you have been with your top customer during

the past six months, drill down to month for the first customer on the list. Todo this, do not use the standard drilldown path, but go directly to the month.

6HOHFW�WKH�ILUVW�FXVWRPHU�9LHZ�→�'ULOO�GRZQ�E\�→�0RQWK

2-1-10 You are now interested in which materials this customer ordered in thehighest order month. To do this, do not use the standard drilldown path, butgo directly to the "material". Drill down to the materials for the month withthe highest percent of total incoming orders.

9LHZ�→�'ULOO�GRZQ�E\�→�0DWHULDO2-1-11 You want to see the invoiced quantity for the material which the customer

has ordered from you most. Display all the key figures for that material.Look for the key figure ,QYRLFHG�TXDQWLW\.

6HOHFW�WKH�FKDUDFWHULVWLF�ZLWK�WKH�KLJKHVW�LQFRPLQJ�RUGHUV��'RXEOH�FOLFNRQ�WKH�NH\�ILJXUH�

2-1-12 You have decided you want to see the invoiced quantity for all the materialsdisplayed. Therefore, you want to add this key figure to your list. You mayneed to deselect existing key figures, since the screen width may beinsufficient to display all required key figures.

(GLW�→�&KRRVH�NH\�ILJXUHV2Q�WKH�ULJKW�VLGH�RI�WKH�GLVSOD\��VFUROO�GRZQ�XQWLO�\RX�ILQG��,QYRLFHGTXDQWLW\��6HOHFW�WKLV�ILHOG�E\�FOLFNLQJ�RQFH�RQ�WKDW�OLQH��3UHVV�WKH�OHIWDUURZ�FKRRVH�EXWWRQ��7KH�ILHOG�ZLOO�PRYH�IURP�WKH�ULJKW�WR�WKH�OHIW�RI�WKHGLVSOD\�&KRRVH�>&RQWLQXH�(QWHU@�,I�LQVXIILFLHQW�VSDFH��GHVHOHFW�RQH�RU�PRUH�NH\�ILJXUHV��IRU�H[DPSOH��2SHQRUGHUV��RU��2SHQ�RUGHUV�TXDQWLW\��6HOHFW�WKLV�ILHOG�E\�FOLFNLQJ�RQFH�RQWKDW�OLQH��3UHVV�WKH�ULJKW�DUURZ�GR�QRW�FKRRVH�EXWWRQ��7KH�ILHOG�ZLOO�PRYHIURP�WKH�OHIW�VLGH�RI�WKH�GLVSOD\�WR�WKH�ULJKW�VLGH�RI�WKH�GLVSOD\�

2-1-13 Return to the sold-to-party level of the analysis. What are the two ways toreturn to this level? Note: You will lose the key figure you added to yourlist.

�� &OLFN�WKH�JUHHQ�DUURZ�WR�JR�EDFN�WZR�VWHSV�DQG�FDQFHO�WKH�VHOHFWLRQ�RI\RXU�723�1�FXVWRPHUV�9LHZ�→�&DQFHO�UDQNLQJ�OLVW�

2. 8VH�WKH�PHQX�SDWK�9LHZ�→�%DVLF�OLVW�

© SAP AG LO930 3-50

2-2 To continue your analysis of top customers, you will use some of the graphics toolswithin standard analysis.


Also, change the characteristic display back to key only.


2-2-1 You want to perform an ABC analysis, displaying how many customersmake up the top 70% of what you sell, the next 20% and the last 10%. Usethe ,QFRPLQJ�RUGHUV key figure for this analysis. Use the "Total incomingorders" (%) strategy.

6HOHFW�WKH��,QFRPLQJ�RUGHUV��NH\�ILJXUH�E\�FOLFNLQJ�RQFH�DW�WKH�WRS�RI�WKHFROXPQ�(GLW�→�$%&�DQDO\VLV6HOHFW�WKH�VWUDWHJ\�7RWDO�,QFRPLQJ�RUGHUV��$V�VHJPHQW�VL]HV��VHOHFW��DQG��WKHVH�VKRXOG�EH�WKH�GHIDXOWYDOXHV��1. The graphic displays the number of customers that are associated with

that proportion of incoming orders.

2. Display the overview of this analysis (overview of segments). See howmany customers make up each segment of your sales.

&OLFN�RQ��2YHUYLHZ�RI�VHJPHQWV��RQ�WKH�ULJKW�VLGH�RI�WKH�JUDSKLF��7KLVZLOO�GLVSOD\�HDFK�VHJPHQW��$��%��DQG�&��WKH�QXPEHU�RI�FXVWRPHUV�WKDWFRPSULVH�HDFK�VHJPHQW��DQG�WKH�WRWDO�LQFRPLQJ�RUGHUV�LQ�HDFKVHJPHQW�

3. Look at the list of the customers that comprise the top 70% of your sales(the A segment).

<RX�FDQ�HLWKHU�� 6HOHFW�WKH�$�VHJPHQW��7KHQ�SUHVV�'HWDLOV�2U�� 5HWXUQ�WR�WKH�JUDSKLF�ZLWK�,QLWLDO�JUDSKLF�V��WKHQ�SUHVV��/LVW��$

VHJPHQW��RQ�WKH�ULJKW�VLGH�RI�WKH�JUDSKLF�7R�H[LW�WKH�$%&�DQDO\VLV�DQG�UHWXUQ�WR�\RXU�FXVWRPHU�OLVW��SUHVV�WKH\HOORZ�DUURZ�

© SAP AG LO930 3-51

2-2-2 You want to see if there is a relationship between the incoming orders valueand the number of order items from your customers. You will use dualclassification for this analysis.

Your list should include the key figure 2UGHU�LWHPV for this analysis.

7R�DGG�WKH�NH\�ILJXUH�(GLW�→�&KRRVH�NH\�ILJXUHV2Q�WKH�ULJKW�VLGH�RI�WKH�GLVSOD\��VFUROO�GRZQ�XQWLO�\RX�ILQG��2UGHU�LWHPV��6HOHFW�WKLV�ILHOG�E\�FOLFNLQJ�RQFH�RQ�WKDW�OLQH��3UHVV�WKH�OHIW�DUURZ�FKRRVHEXWWRQ��7KH�ILHOG�ZLOO�PRYH�IURP�WKH�ULJKW�WR�WKH�OHIW�RI�WKH�GLVSOD\�&KRRVH�>&RQWLQXH�(QWHU@�7R�XVH�GXDO�FODVVLILFDWLRQ�(GLW�→�'XDO�FODVV6HOHFW��,QFRPLQJ�RUGHUV��DQG��2UGHU�LWHPV��7KLV�JUDSKLF�VKRZV�WKH�QXPEHU�RI�FXVWRPHUV�IURP�ZKRP�\RX�KDYHUHFHLYHG�RUGHUV�LQ�D�FHUWDLQ�YDOXH�UDQJH��ZLWK�WKH�QXPEHU�RI�RUGHU�LWHPVDOVR�ZLWKLQ�D�FHUWDLQ�UDQJH�The initial display uses certain default values for the class limits. Change theclass limits to the following:

1. 3 classes

2. Upper limits of incoming orders: choose new defaults.


&OLFN��&ODVV�OLPLWV��RQ�WKH�ULJKW�RI�WKH�JUDSKLF�From the graphic, display the overview of the segments.

&OLFN��2YHUYLHZ�RI�VHJPHQWV��RQ�WKH�ULJKW�RI�WKH�JUDSKLF�<RX�FDQ�UHWXUQ�WR�WKH�JUDSKLF�E\�SUHVVLQJ��,QLWLDO�JUDSKLF�V��([LW�WKHGXDO�FODVVLILFDWLRQ�DQDO\VLV�E\�SUHVVLQJ�WKH�\HOORZ�DUURZ�

© SAP AG LO930 3-52

2-3 Continuing your customer analysis, you want to see the relationship between thevalue of orders and the value of invoices from your top customers.

2-3-1 Execute again a Top 10 analysis of your list of customers. From your firstcustomer, drill down to material level.

For your graphic, select ,QFRPLQJ�RUGHUV and 6DOHV.&OLFN�RQFH�RQ�,QFRPLQJ�RUGHUV�(GLW�→�&RPSDULVRQV�→�7ZR�NH\�ILJXUHV6HOHFW��6DOHV��&KRRVH�>(QWHU@�7KH�NH\�ILJXUH�FRPSDULVRQ�OLVW�LV�GLVSOD\HG�&KRRVH�>*UDSKLFV@�


2-3-2 SAP Business Graphics display a 3D bar chart by default. You are,however, interested in seeing the data in a 2D bar chart format.

1. Before you display the bar chart, you must select EDU�FKDUW from the 2Doptions list.

2SWLRQV�→��'�RSWLRQV2. Once you have applied the bar chart option by clicking [Continue], you

can go to the 2D view from the Goto menu.

*RWR�→��'�YLHZ



*RWR�→�*URXSV�YLHZ2-3-4 To see both the 3D vertical bar chart and 2D horizontal bar chart, you can

display an overview of your graphics.

*RWR�→�2YHUYLHZWhen you are finished, use the green or yellow arrow to return to standardanalysis. Return to the customer level of your analysis.

© SAP AG LO930 3-53

2-4 Now that you have analyzed the summarized information for your top customer,you want to see the documents that contain this information.

2-4-1 Using the top customer, describe how to go directly to the customer’saddress.

6HOHFW�WKH�FXVWRPHU�E\�FOLFNLQJ�RQFH�RQ�WKH�FXVWRPHU�8VH�WKH�PHQX�SDWK�([WUDV�→�0DVWHU�GDWD�→�&XVWRPHU�PDVWHU:KHQ�\RX�DUH�ILQLVKHG�ORRNLQJ�DW�WKH�FXVWRPHU�PDVWHU�GDWD��XVH�WKH�JUHHQRU�\HOORZ�DUURZ�WR�UHWXUQ�WR�WKH�VWDQGDUG�DQDO\VLV�

2-4-2 Using the top customer, describe how to display the transactions for acustomer, directly from standard analysis.

6HOHFW�WKH�FXVWRPHU�E\�FOLFNLQJ�RQFH�RQ�WKH�FXVWRPHU�8VH�WKH�PHQX�SDWK�([WUDV�→�'RFXPHQW�LQIRUPDWLRQ�→�2UGHUV�→�2UGHUVOLVW&KDQJH�WKH�GDWH�WR�UHIOHFW�WKH�VHOHFWLRQ�LQ�WKH�DQDO\VLV�6HOHFW�>2UJDQL]DWLRQDO�GDWD@��6SHFLI\�VDOHV�RUJDQL]DWLRQ��&KRRVH>(QWHU@�:KHQ�WKH�OLVW�DSSHDUV��VHOHFW�WKH�GRFXPHQW�E\�GRXEOH��FOLFNLQJ�RQ�WKHUHOHYDQW�OLQH�2QFH�\RX�KDYH�GLVSOD\HG�WKLV�LQIRUPDWLRQ��XVH�WKH�JUHHQ�RU�\HOORZ�DUURZWR�UHWXUQ�WR�WKH�VWDQGDUG�DQDO\VLV�

2-5 Execute a standard analysis for 0DWHULDO, create a list of materials for thosematerials used in this class: 0�� through 0��. Also include materials 3�� and3��. Analyze the activities of the past three months, including the current month.

/RJLVWLFV�→�6DOHV�DQG�'LVWULEXWLRQ�→�6DOHV�,QIRUPDWLRQ�6\VWHP�→�6WDQGDUGDQDO\VHV�→�0DWHULDO��GRXEOH�FOLFN�2Q�WKH�VHOHFWLRQ�VFUHHQ��VHOHFW�WKH�>0XOWLSOH�VHOHFWLRQ@�DUURZ�IRU�WKH�0DWHULDO�,Q�WKH�VLQJOH�YDOXH�VHOHFWLRQV��HQWHU�3��DQG�3��,Q�WKH�UDQJHV�VHOHFWLRQ��HQWHU�0��WR�0��&RS\�\RXU�HQWULHV�WR�WKH�VHOHFWLRQ�RSWLRQV�LQ�WKH�LQLWLDO�VFUHHQ�2Q�WKH�LQLWLDO�VHOHFWLRQ�VFUHHQ��WKH�>0XOWLSOH�VHOHFWLRQ@�DUURZ�LV�KLJKOLJKWHG�2-5-1 Since you regularly use these selections, save these settings as a variant.

*RWR�→�9DULDQWV�→�6DYH�DV�YDULDQW(QWHU�\RXU�JURXS�QDPH��/2��DQG�GHVFULSWLRQ��7KH�UHPDLQGHU�RI�WKHLQIRUPDWLRQ�DSSOLHV�WR�EDFNJURXQG�SURFHVVLQJ�DQG�QHHG�QRW�EH�FRPSOHWHGIRU�WKLV�H[HUFLVH�6DYH�WKHVH�VHWWLQJV�

2-5-2 Return to the main SIS menu. Execute the analysis again, using the variant.

*RWR�→�9DULDQWV�→�*HW6HOHFW�\RXU�YDULDQW�QDPH�7KH�VHWWLQJV�GHILQHG�LQ�WKH�YDULDQW�ZLOO�QRZ�EH�GLVSOD\HG�

© SAP AG LO930 3-54

2-6 You would now like to define your own default settings for the sales employeeanalysis.

/RJLVWLFV�→�6DOHV�DQG�'LVWULEXWLRQ�→�6DOHV�,QIRUPDWLRQ�6\VWHP�→�6WDQGDUGDQDO\VHV�→�6DOHV�HPSOR\HH2-6-1 You would like a drilldown in the order 6DOHV�UHSUHVHQWDWLYH��6DOHV

RUJDQL]DWLRQ��6ROG�WR�SDUW\��0DWHULDO and 0RQWK�2Q�WKH�LQLWLDO�VFUHHQ��FKRRVH�>8VHU�6HWWLQJV@�(QWHU�\RXU�JURXS�QDPH��/2��&OLFN�RQ�>&KRRVH�FKDUDFWHULVWLFV@2Q�WKH�OHIW�VLGH�RI�WKH�GLVSOD\��VHOHFW��'LVWULEXWLRQ�FKDQQHO��DQG�'LYLVLRQ��3UHVV�WKH�ULJKW�DUURZ�GR�QRW�FKRRVH�EXWWRQ��7KH�ILHOG�ZLOOPRYH�IURP�WKH�OHIW�VLGH�RI�WKH�GLVSOD\�WR�WKH�ULJKW�VLGH�RI�WKH�GLVSOD\�0RYLQJ��0RQWK��WR�WKH�FRUUHFW�SRVLWLRQ�LQYROYHV�WZR�VWHSV�� 6HOHFW��0RQWK�� 6HOHFW�WKH�WH[W�RI�0DWHULDO��WKH�ODVW�ILHOG��&KRRVH>0RYH@�WKHQ�>&RQWLQXH@��7KH�ILHOG��0RQWK��ZLOO�QRZ�EH�VHFRQG�IURP�ODVW�� 6HOHFW�0DWHULDO��WKH�ODVW�ILHOG��6HOHFW�WKH�WH[W�RI�0RQWK��6HOHFW�>0RYH@WKHQ�>&RQWLQXH@�

2-6-2 In addition to the default key figures, you also require the key figure 2UGHULWHPV. All key figures should be displayed without decimal places.

&KRRVH�>.H\�ILJXUHV@�&OLFN�RQ�>&KRRVH�NH\�ILJXUHV@2Q�WKH�ULJKW�VLGH�RI�WKH�GLVSOD\��VHOHFW��2UGHU�,WHPV��3UHVV�WKH�OHIWDUURZ�FKRRVH�EXWWRQ��7KH�ILHOG�ZLOO�PRYH�IURP�WKH�ULJKW�VLGH�RI�WKH�GLVSOD\WR�WKH�OHIW�VLGH�RI�WKH�GLVSOD\�6HOHFW�QR�GHFLPDO�SODFHV�IRU�DOO�NH\�ILJXUHV�


&KRRVH�>3DUDPHWHUV@�(QWHU��DV�WKH�QXPEHU�RI�SUHYLRXV�SHULRGV��6HOHFW�>:LWK�FXUUHQW�SHULRG@(QWHU�\RXU�UHTXLUHG�FXUUHQF\�LQ��$QDO\VLV�FXUUHQF\��6HOHFW��.H\�DQG�GHVFULSWLRQ��'HILQH�D�FKDUDFWHULVWLF�FROXPQ�ZLGWK�RI��6DYH�WKHVH�VHWWLQJV�User settings only apply to this analysis. If these settings are required fora different analysis, they must be defined for that individual analysis.


© SAP AG LO930 4-1

SAP AG 1999

l 5XQWLPH�UHGXFWLRQl $XWRPDWLRQ�RI�VWDQGDUG�DQDO\VHV�XVLQJ�VHOHFWLRQ

YHUVLRQVl '\QDPLF�DJJUHJDWLRQ�XVLQJ�VWDQGDUGL]HG�DQG�VHOI�

GHILQHG�KLHUDUFKLHVl $XWKRUL]DWLRQ�FRQFHSW

&RQWHQWV�

$GYDQFHG�6WDQGDUG�$QDO\VHV

© SAP AG LO930 4-2

SAP AG 1999

l 'HWHUPLQH�WUDQVDFWLRQV�ZLWK�ORQJ�UXQWLPHV�DQGILQG�VROXWLRQV�IRU�WKHLU�KDQGOLQJ

l &UHDWH�DQG�SURFHVV�VHOHFWLRQ�YHUVLRQVl ([HFXWH�DQDO\VHV�XVLQJ�VWDQGDUG�KLHUDUFKLHVl &UHDWH�\RXU�RZQ�KLHUDUFK\�DQG�XVH�LW�WR�H[HFXWH

DQ�DQDO\VLVl 8VH�WKH�DXWKRUL]DWLRQ�FRQFHSW�WR�UHVWULFW�XVHU

DXWKRUL]DWLRQV�LQ�WKH�/,6


$GYDQFHG�6WDQGDUG�$QDO\VHV��8QLW�2EMHFWLYHV

© SAP AG LO930 4-3

SAP AG 1999


)OH[LEOH�DQDO\VLV




•��

• �� • �!��"�#�! ��•�$�� #�� %��&�' ��(�

• �)� ��#�� *�� • ��+��+�#��

,�-./.0102!3 �4��(��5 �� 76

$GYDQFHG�6WDQGDUG�$QDO\VHV��2YHUYLHZ

n Standard analyses offer a number of functions to optimize analyses handling. This unit will introducesome of these functions and the advantages they offer.

© SAP AG LO930 4-4

SAP AG 1999

6FHQDULR��l <RX�KDYH�MXVW�FUHDWHG�DQ�DQDO\VLV�WKDW�\RX�ZRXOG�OLNH�WR�PDNH

DYDLODEOH�WR�\RXU�UHSRUWLQJ�VWDII�l ,Q�RUGHU�WR�VDYH�WLPH�DQG�V\VWHP�UHVRXUFHV�GXULQJ�WKH�VHOHFWLRQ

SURFHVV��\RX�ZDQW�WR�VHW�XS�VHOHFWLRQ�YHUVLRQV�l 7KHVH�VHOHFWLRQ�YHUVLRQV�ZLOO�EH�UXQ�RQ�D�QLJKWO\�EDVLV��LQ�WKH

EDFNJURXQG�6FHQDULR��l <RXU�FRPSDQ\�KDV�HVWDEOLVKHG�PDWHULDO�UHSRUWLQJ�UHODWLRQVKLSV

XVLQJ�WKH�VWDQGDUG�SURGXFW�KLHUDUFK\�DQG�ZDQWV�WR�XVH�WKH�SURGXFWKLHUDUFK\�ZLWKLQ�VWDQGDUG�DQDO\VLV�WR�DQDO\]H�\RXU�VDOHV�SXUFKDVLQJGDWD�

l )XUWKHUPRUH��\RXU�FRPSDQ\�ZRXOG�OLNH�WR�DQDO\]H�VDOHV�E\�JURXSLQJVDOHV�GLVWULFWV�

l +RZHYHU��WKHUH�LV�QR�ZD\�RI�HVWDEOLVKLQJ�UHODWLRQVKLSV�EHWZHHQVDOHV�GLVWULFWV��HLWKHU�LQ�WKH�VDOHV�PDVWHU�GDWD�RU�WKH�HQWHUSULVHVWUXFWXUH��7KHUHIRUH��\RX�FDQ�WDNH�DGYDQWDJH�RI�WKH�XVHU�GHILQHGKLHUDUFKLHV�ZLWKLQ�WKH�VWDQGDUG�DQDO\VHV�

$GYDQFHG�6WDQGDUG�$QDO\VHV�%XVLQHVV�6FHQDULR

© SAP AG LO930 4-5

SAP AG 1999

100,000200,000

90,000195,000

•

3ODQWV

1RUWK 6RXWK

+DPEXUJ%UHPHQ%HUOLQ

0XQLFK6WXWWJDUW0DQQKHLP

'RHV�WKH�XVHU�KDYHWKH�DXWKRUL]DWLRQWR�VHH�WKH�VDOHVRUGHU�UHFHLSWYDOXHV"

0DWHULDO�DQDO\VLV��VWDWXV��Material Order val. Invoiced

amountM-01M-02 •

100,000200,000

Invoicedamount 90,000

195,000 •

6WDQGDUG�DQDO\VLV

$GYDQFHG�$QDO\VLV�)XQFWLRQV

Material0DWHULDO�DQDO\VLV��VWDWXV��

Order val.

M-01M-02 •

n This unit provides a detailed overview of three functions that optimize and automate standardanalysis handling:

é Automation and runtime reduction can be achieved with the help of selection versions.

é Standardized and self-defined hierarchies allow for dynamic aggregation within standard analysislists. This provides additional features for the analysis of LIS data and own views of the datamaterial.

é Access to LIS functions can be determined using the authorization concept. A number of LogisticsControlling authorizations make it possible to reduce the multiple selection possibilities in LIS to alimited user community through specific LIS user profiles and vary them for each user.

© SAP AG LO930 4-6

SAP AG 1999

9HQGRU�SXUFK��YDOXHVVendor Order

valueInvoicevalue

101,900230,350 •

102,000225,000

•

10002000 •

3XUFK��JURXS�DQDO\VLVPurch.group

Ordervalue

Purch.orders

101,900230,350 •

9501,100

•

001002 •

0DWHULDO�IUHTXHQFLHVMaterial Order

item Deliveries

1015

•

1220 •

M-01M-02 •

,QIR�VWUXFWXUH,QIR�VWUXFWXUH

6��6��

0DWHULDO�DQDO\VLVMaterial Order

valueOrderquantity

100,000200,000 •

9001,000

•

M-01M-02 •

6HOHFWLRQ�YHUVLRQ��P. org. Order

valueInvoicevalue

101,900230,350 •

102,000225,000

•

10001100 •

6HOHFWLRQ�YHUVLRQ��Plant Order

quantityOrderitem

10,00053,350

•

7402,400

•

14001500 •

6$3�6WDQGDUG�9LHZV�DQG�6HOHFWLRQ�9HUVLRQV

n In addition to the analyses of an info structure delivered as part of the standard version, analyses withtheir own selection of key figures and standard drilldown can be created in the system usingselection versions. This means that additional views of the LIS data can be predefined.

n This feature is especially useful if a certain data view is needed repeatedly. Single analyses can becreated with user-specific settings in the standard analyses.

© SAP AG LO930 4-7

SAP AG 1999

8VHVl 6WDQGDUG�DQDO\VLV�SHUIRUPHG�DV�EDFNJURXQG�MRE8 Perform a once-only analysis (large amount of data)8 Schedule an analysis to run at regular intervals (regular controlling)8 Access to selected data via distribution lists

l 6DYH�VWDQGDUG�DQDO\VLV8 Record current situation8 Save complex selections$GYDQWDJHVl (DV\�IRU�HQG�XVHUV�WR�ZRUN�ZLWK8 Predefined selections8 Predefined aggregation levels8 Distinct, varied views of info structures

l /DUJH�YROXPHV�RI�GDWD�FDQ�EH�SURFHVVHG�HIILFLHQWO\8 Data stored in a selection version can be accessed much more quicklythan during online standard analyses8 Online system performance is improved due to background processing8 Basic lists are available at once

8VHV�DQG�%HQHILWV

n Selection versions allow you to tailor the selection of data and the first step of data presentation(using the basic list) to suit the requirements of specific user groups.

n System performance can be vastly improved and repetitive tasks can be automated if you work withselection versions.

© SAP AG LO930 4-8

SAP AG 1999

6HOHFWLRQ�YHUVLRQ

9;:4<=�>@?�A

=B = A = :"C D E"FHG

=&I B D E F BJLKNM O K P#Q K Q M R�S O S

6HWWLQJV6HWWLQJV

0&5690&569

&KDUDFWHULV�WLFV

&KDUDFWHULV�WLFV

0&50.0&50..H\�ILJXUHV.H\�ILJXUHV

0&.=6)0&.=6)

%DVLF�OLVWV%DVLF�OLVWV

0&6,��0&6$&OXVWHU�WDEOHV0&6,��0&6$&OXVWHU�WDEOHV

T�U V W(X Y ZV [ X [@\"] U ^ _H` [&a V U ^ _ V

bdcLef

g@h c+ij c�k j c"i c+l m g f g

T U V W X Y ZV [ X [ \ ] U ^ _ ` [ a V U ^ _ V

6HOHFWLRQ�YHUVLRQV

,QIR�VWUXFWXUH,QIR�VWUXFWXUH


6RXUFH�DQG�7DUJHW�RI�6HOHFWLRQ�9HUVLRQV

n Selection versions can considerably improve performance for background runs of standard analyses.You can use selection versions to schedule standard analyses, which makes a significant contributiontowards automation in your enterprise.

n Selection versions economically store the data that you have selected in tables that have beenspecially designed for this purpose. Even the basic list for a selection version is stored separately,which guarantees quick and efficient access to your analysis. The settings, the selectedcharacteristics and key figures are stored in separate tables.

n Standard analyses that are started online can also be saved in this form retrospectively.

© SAP AG LO930 4-9

SAP AG 1999

0DQXDO�&UHDWLRQ�RI�D�6HOHFWLRQ�9HUVLRQ

no�&�(��&�1��!� �(��" ��pq�!�4�' ��nr�+�(��&�s�� (�� p/��4�� 6$��tu�(�Standard drilldownKey figuresCurrency translationPeriod to analyzeParametersRepresentation of characteristicsColumn widths

6HOHFWLRQ�YHUVLRQPlant Order

amountOrderquantity

100.000200.000 •

9001.000

•

10002000 •

v'w x�y�z {}|�w ~��Standard analysis�General overview�User-specificoverview

Characteristics

Parameters


toto

to

Currency

&UHDWH�9DULDQW

Exception

After event

After job

Date/Time

At operationmode

Immediate Date After job ...

�/�#�#� 5 � � �s�� (�� p��&�! � �

n To create a selection version manually, first define all settings that can also be made in normalstandard analyses via the user-specific settings.

n Next, create a variant for these selection versions.

n The selection will then be scheduled. This can take place once only or periodically. If a selectionversion is executed more than once, the result from the previous analysis is overwritten. To avoidthis, you can store current results from selection versions as a current record.

n The results can then be displayed in standard analyses with the same data basis (info structure) or inthe general or user-specific overview.

© SAP AG LO930 4-10

SAP AG 1999

&UHDWH�XVHU�JURXSV�XVLQJ�GLVWULEXWLRQ�OLVWV'LVWULEXWLRQ�OLVW�'� Miller Johnson

'LVWULEXWLRQ�OLVW�'� Smith Brown Fleming

&UHDWH�VHOHFWLRQ�YHUVLRQV��9�D��9�E��9�D��9�E

'LVWULEXWLRQ�OLVWV

�'�

�'�

8VHU�VSHFLILF�DXWKRUL]DWLRQV

$VVLJQ

8VHUMillerJohnsonSmith

$XWKRUL]DWLRQ�6HOHFWLRQ�9HUVLRQVV1*V1*V2*

6HOHFWLRQ�9HUVLRQ�DQG�8VHU�*URXSV

n Daily business routines often require that selection versions are assigned to a specific user group.This can be realized in three steps:

é User groups have to be created using general distribution lists in the office.

é When the selection version is created, a distribution list is assigned to it.

é As an optional possibility, authorizations for certain selection versions can be assigned for eachuser via the authorization concept. This prevents unauthorized users from accessing certainselection versions in the general overview.

© SAP AG LO930 4-11

SAP AG 1999

8VHU��5ROH

3URILOH

$XWKRUL]DWLRQV $GPL

QLVWUD

WLRQ

$GPL

QLVWUD

WLRQ

'HYH

ORSPH

QW'H

YHORS

PHQW$XWKRUL]DWLRQ�REMHFW

)LHOGV

.$��1,!-��!��u��

��

��!� ��0 ��

.��$�s,�-��*��

�� '�*��;��!�*��*� ��*�!��L�

�� !�*�� !�*��

��~��u�rx;�&�4�*�d�&��d �y�y�z w �d{��+w ��~

/y�y�z w �L{��&w ��~¡ ��z ��}��w �(~/¢*��x�w �(~��~d�4�7x;�&�4�*�d�&�� }��w ¢�w ��|

/y�y�z w �d{��&w ��~ ��d£�¤��¡ ��z ��d�&w ��~q¢*�*�¥x�¦¥�d§��~��u�rx;�&�4�*�d�&��¨§ ��d�&w ¢�w ��|�� §

/y�y�z w �L{��w ��~ �L©¡ ��z ��d��w ��~�¢��x*¦��dª�§��~��u�7x;��«�*�d�� ¡ �;©�¬ ��d��w ¢�w ��|�� *�

6$3�$XWKRUL]DWLRQ�&RQFHSW

� � ��"®¯�! ��. � �+�#��!��°®±��(°��

n This slide provides you with an overview of the SAP authorization concept.Most authorization objects are specified by the standard. Individual authorization objects can,however, also be modeled. Authorization objects are made up of individual fields.

n In administration, authorizations are created for the authorization objects, which refer to the fieldsdefined in the underlying objects. You can manage as many authorizations as are required for anauthorization object.

n Authorizations are also summarized into profiles (see Profile Generator), which are finally assignedeither to the users directly, or to roles (activity groups).

n In a further step, you can assign users to the roles (activity groups). You can then carry out a ’usermatch’ to automatically assign the profiles for the roles (activity groups) to these users.

© SAP AG LO930 4-12

SAP AG 1999

��~��u�rx��&�4�*�N�+��*²��}|H��w ³(��´��µ�~�w �;{�z;~�{;¶7��*· �� ¡ �(²�¸#�!��ª

��~L�«�7x;�+�«�*�}�&�� ·q¹�� '�²��d|H�&w ³(�� ·q¹�²!¸#�

��~L�«�rx;�&�4�*�d�&��;·7º'»o�;�(~;�&�¥��z z �*�´��;��µ*~�w ��{�z;~�{�¶7��*·�� ¡ �(v!� ¡ »��

��~L�«�7x��&�4�*�d�&�� ·q¹�� '�·7º'»o�;��~;��¥�(z z �� v!� ¡ »��

��~d�4�7x;�&�4�*�d�&��} /y�y�z w �d{��w ��~´��;��µ�~�w ��{�z;~�{�¶r��*· ��!�*�!�* ��¼

��~L�«�rx;�&�4�*�d�&�� ·�¹'� �� /y�y�z w �L{��&w ��~ ·�¹# $»#» ��}��w ¢�w �¥| �¹�´�½!´

��~L�«�rx;�&�4�*�d�&��*»�z {*~;�´��;��µ*~�w ��{�z;~�{;¶¾�*�*·�� ¡ ��¿À¸#º!² ¡

��~L�u�¾x;�&�4�*�}�� ·/¹ � ��»#z {�~;� ¿À¸#º!² ¡

¡ ��z ��d�&w ��~q¢��ux*w ��~;x´��;��µ�~�w ��{*z;~�{�¶r��*·�� ¡ � ¡ ¸#¼�½ ¡

��~��u�rx;�&�4�*�d�&�� ·q¹'�� /y�y�z w �L{��&w ��~ ·q¹# �»�» ��d�&w ¢�w ��| ¹�´�½!´

¡ ��z ��d�&w ��~q¢��«¦ ¡ ¸�¼�½ ¡

0DWHULDO�DQDO\VLV�%&2Plant GR

quantityIssuequantity

1,000800

•

9001,000

•

10002000 •

$XWKRUL]DWLRQ�2EMHFWV�LQ�6WDQGDUG�$QDO\VHV

n The characteristics that can be selected in the standard LIS analyses cover the common authorizationobjects in the standard SAP system. For example, authorization checks are carried out fororganizational levels such as plant, purchasing or sales organization. In addition, the system alsochecks customer and vendor authorizations.

n You can also use a standard authorization object to define which key figures a particular user isauthorized to view, and in which analyses.

n You will find an overview of authorizations relevant for LIS in the authorization class "LogisticsControlling".

n Authorizations mainly consist of fields for activity (display, maintain), LIS application (Purchasing,Sales) and structure (info structure, DDIC structure, etc.).

© SAP AG LO930 4-13

SAP AG 1999

l &KHFN�IRU�NH\�ILJXUHVl &KHFN�IRU�FKDUDFWHULVWLF�YDOXHV

8 Standard checks forÁ MRP controllerÁ Purchasing organizationÁ Purchasing groupÁ Warehouse numberÁ Material typeÁ Division

8 Functional enhancement for non-standard characteristics

Á Sales officeÁ Sales organizationÁ Distribution channelÁ Material groupÁ Plant

&KHFNV�IRU�.H\�)LJXUHV�DQG�&KDUDFWHULVWLFV

n The checks for key figures and characteristics can be used for all information structures. They canalso be adapted for each information structure.

n A functional enhancement can be used to carry out authorization checks on characteristics withoutexecuting a standard check. It is also possible to replace a standard check with this enhancement.

© SAP AG LO930 4-14

SAP AG 1999

*HQHUDO�)HDWXUHV

l $GGLWLRQDO�GULOOGRZQ�RSWLRQV�HQDEOH�\RX�WR�YDU\�WKH�VWDQGDUG�GULOOGRZQ8 No longer necessary to restrict selection to 9 characteristics8 Data in the hierarchy always up-to-date

l 7KH�G\QDPLF�VWDJLQJ�RI�DGGLWLRQDO�LQIRUPDWLRQ�LQFUHDVHV�V\VWHP�ORDG

6$3�+LHUDUFKLHV

l 6KLSSHG�ZLWK�WKH�VWDQGDUG�V\VWHPl ,QFOXGH��FXVWRPHU�DQG�SURGXFW�JURXS�KLHUDUFKLHV��ZRUN�FHQWHU�KLHUDUFK\�

DQG�PDWHULDO�FODVV�KLHUDUFK\

+LHUDUFKLHV

n The standard analyses in LIS also give you the option of accessing information on hierarchiesbelonging to other applications.This enables you to view the data you selected from additional perspectives, without having toensure that these additional views are based on a characteristic in the info structure. It is therefore nolonger necessary to restrict selection to 9 characteristics per info structure.

n You need to consider, however, that this additional information is dynamically read at the point ofanalysis, which increases the system load. This in turn ensures that you are always provided with up-to-the-minute information.

© SAP AG LO930 4-15

SAP AG 1999

6$3�+LHUDUFKLHV�LQ�6WDQGDUG�$QDO\VHV

0DWHULDO�DQDO\VLVPOrg Order value Invoiced

amount100.000200.000

90.000195.000 •

10002000 • 3XUFK��2UJ��

Materialclass

Order value Invoicedamount

30.00040.000

30.00035.000

•

MonitorsPC • 3��RUJ��0DW��FO��0RQLWRUV

Material Order value Invoicedamount

10.00015.000

10.00015.000

•

M-01M-02 •

KLHUDUFKLHV

Product hierarchyVendor class

Material group hierarchyMaterial class

YearQuarter

Product group

'RXEOH�

FOLFN

n A drilldown by hierarchy is always performed for a particular characteristic value of the list. Thisvalue is then taken as a basis for generating a new list with regards to the selected hierarchy.

n Double-clicking takes you to the next level of the hierarchy until, at the end, the characteristicattached to the hierarchy appears in the list.

© SAP AG LO930 4-16

SAP AG 1999

6HOI�GHILQHG�KLHUDUFKLHV��IURP��'�l &DQ�EH�GHILQHG�XVLQJ�D�FXVWRPHU�H[LW�DV�RI��$l &DQ�EH�GHILQHG�IRU�DOO�FKDUDFWHULVWLFV�DQG�FKDUDFWHU�NH\�ILJXUHV

LQ�DQ�LQIR�VWUXFWXUHl &DQ�FRQWDLQ�DV�PDQ\�KLHUDUFK\�QRGHV�DV�UHTXLUHGl /LQNV��FDQ�LQFOXGH�DOORFDWLRQV�WR�VHYHUDO�QRGHV

l $OORFDWLRQ�RI�QRGHV�FDQ�EH�FRQWUROOHG�XVLQJ�D�YDOLGLW\�GDWH

% &

$ % & ' ( )

$

Â#Ã4Ä�Å

Æ4Ç(È4É Ê Ë ÈÊ ÌNÍ

$ % & $ ' (Î�Ï Ç"Ð Ñ È

Ê Ñ È Ê Ì&Ò

� ��!Ó

6HOI�'HILQHG�+LHUDUFKLHV

n You can define your own hierarchies in order to use any kind of drilldown sequences and summationlevels in the standard analyses. You can also use a hierarchy to represent validity periods and makemultiple allocations.

n Self-defined hierarchies can be integrated into standard analyses in the same way as SAP standardhierarchies.

© SAP AG LO930 4-17

SAP AG 1999

l 'HWHUPLQH�WUDQVDFWLRQV�ZLWK�ORQJ�UXQWLPHV�DQGILQG�VROXWLRQV�IRU�WKHLU�KDQGOLQJ

l &UHDWH�DQG�SURFHVV�VHOHFWLRQ�YHUVLRQVl ([HFXWH�DQDO\VHV�XVLQJ�VWDQGDUG�KLHUDUFKLHVl &UHDWH�D�VHOI�GHILQHG�KLHUDUFK\�DQG�XVH�LW�WR

H[HFXWH�DQ�DQDO\VLVl 8VH�WKH�DXWKRUL]DWLRQ�FRQFHSW�WR�UHVWULFW�XVHU

DXWKRUL]DWLRQV�LQ�/,6


$GYDQFHG�6WDQGDUG�$QDO\VHV��6XPPDU\

© SAP AG LO930 4-18

([HUFLVHV

8QLW��$GYDQFHG�6WDQGDUG�$QDO\VHV7RSLF��$XWRPDWLRQ�RI�6WDQGDUG�$QDO\VHV�8VLQJ�6HOHFWLRQ9HUVLRQV

• Create and process selection versions.

You have just created an analysis that you would like to make availableto your reporting staff. In order to save time and system resources duringthe selection process, you want to set up selection versions. Theseselection versions will be run on a nightly basis, in the background.


1-1 Create the selection version 69�� for the vendor analysis (s012). Enter thedescription 6HOHFWLRQ�YHUVLRQ�IRU�JURXS��

1-1-1 Normally three months of data are viewed in a specific currency (of yourchoice). The characteristic text and description will be displayed. Yourequire a characteristic column width of 30 for this purpose.

1-1-2 Select the following characteristics and arrange them in the sequence:Purchasing organization, Vendor, Material group and Material.

1-1-3 Choose key figures: 2UGHU�YDOXH, 2UGHU�TXDQWLW\, and ,QYRLFHG�DPRXQW. Allkey figures should be displayed without decimal places.

© SAP AG LO930 4-19

1-1-4 Create a variant for the background processing. However, do not define anyselection options.

1-1-5 For testing purposes, schedule the analysis to be executed immediately.

1-1-6 View the completed selection version of the analysis.

1-1-7 Finally, schedule the analysis to be executed nightly.

© SAP AG LO930 4-20

8QLW��$GYDQFHG�6WDQGDUG�$QDO\VHV7RSLF��'\QDPLF�$JJUHJDWLRQ�8VLQJ�6WDQGDUGL]HG�DQG�6HOI�'HILQHG�+LHUDUFKLHV

• Execute analysis using standard hierarchies.

• Create a self-defined hierarchy.

Your company has established material reporting relationships using thestandard hierarchy drilldown, and wants to use material classes within thestandard analysis to analyze your purchasing data.

Furthermore, your company would like to analyze vendors by groupingthem into regions. However, there is no way to establish this relationship,either in the vendor master data or the enterprise structure. Therefore, youcan take advantage of the user-defined hierarchies within standardanalysis.

1-2 Your next analysis consists of your purchasing organizations and the materials youare buying from them. You are interested in this information based on materialclass.

1-2-1 Using the material standard analysis, create a list of all materials purchasedby the purchasing organization ��, during the past six months.

<RX�ZLOO�QHHG�WR�GHILQH�\RXU�RZQ�GHIDXOW�VHWWLQJV�IRU�WKH�PDWHULDODQDO\VLV��DV�\RX�QHHG�WR�LQFOXGH�SXUFKDVLQJ�RUJDQL]DWLRQ�DV�WKH�ILUVWFKDUDFWHULVWLF�LQ�WKH�GULOOGRZQ�VHTXHQFH�,I�\RX�DUH�XQVXUH�RI�WKH�VWHSV��UHIHU�WR�8QLW��6WDQGDUG�$QDO\VHV�LQ�/,6�([HUFLVH��

1-2-2 What is the technical name of this information structure?

© SAP AG LO930 4-21

1-2-3 Choose purchasing organization ,'(6�*HUPDQ\ to analyze. Drill down tothe first node of the material class hierarchy.

Material class hierarchy drilldown is available in all informationstructures that have material as one of the characteristics, including self-defined information structures.

1-2-4 Drill down until you reach the materials.

1-2-5 What is the drilldown path for the material class drilldown?

1-2-6 How can you display the material class structure?

____________________________________________________________

____________________________________________________________

____________________________________________________________

____________________________________________________________

1-2-7 List (at least) three standard SAP hierarchy drilldowns.

____________________________________________________________

____________________________________________________________

____________________________________________________________

____________________________________________________________

© SAP AG LO930 4-22

1-3 You now want to perform an analysis based on groups of vendors by region. Inorder to do this, you must first establish a hierarchical relationship among yourvendors. Your hierarchy:

Your reporting nodes are Europe, subdivided into Germany and Great Britain.

Vendors by Region

Europe

Germany Great Britain

North South

1000 1001 1004

1012 1002 1008

1014 1003

1015 1005

1006

1010

1011

1-3-1 In the Environment menu of the Purchasing Information System, create ageneral hierarchy for your vendors by region. Use the name +,(5�� withdescription 9HQGRUV�E\�UHJLRQ IRU�JURXS�� Use data element (/,)1�9HQGRU.

1-3-2 Create the reporting nodes of your hierarchy.

© SAP AG LO930 4-23

1-4 You now want to perform the same analysis as before using your new Vendor byregions hierarchy. Using the PDWHULDO standard analysis and your new hierarchy,create a list of all vendors that you have purchased materials from in the past sixmonths.

Your new hierarchy drilldown is available in all information structuresthat have vendors as one of the characteristics, including self-definedinformation structures.

1-4-1 Choose purchasing organization ,'(6�*HUPDQ\ to analyze. Drill down toyour hierarchy.

You may need to define your own default settings for the materialanalysis, since you need to include the purchasing organization as the firstcharacteristic in the drilldown sequence. Alternatively, you can go to thedrilldown according to purchasing organization after calling up theanalysis.

1-4-2 Continue drilling down until you reach the vendor.

© SAP AG LO930 4-24


• Create and process selection versions.

You have just created an analysis that you would like to make availableto your reporting staff. In order to save time and system resources duringthe selection process, you want to set up selection versions. Theseselection versions will be run on a nightly basis, in the background.



2-1 Create a selection version SV##, of the standard sales analysis for customers(s001). Enter the description 6HOHFWLRQ�YHUVLRQ�IRU�JURXS��2-1-1 Normally three months of data are viewed in a specific currency (of your

choice). The characteristic text and description will be displayed. Yourequire a characteristic column width of 30 for this purpose.

2-1-2 Select all the available characteristics and arrange them in the followingorder: Sold-to party, Month, Sales organization, Distribution channel,Division, and Material.

2-1-3 Choose the following key figures: ,QFRPLQJ�RUGHUV��,QFRPLQJ�RUGHUTXDQWLW\��6DOHV��All key figures should be displayed without decimal places.





© SAP AG LO930 4-25


• Execute analysis using standard hierarchies.

• Create a self-defined hierarchy.

Your company has established material reporting relationships using thestandard product hierarchy, and wants to use the product hierarchy withinthe standard analysis to analyze your sales/sales data.

Furthermore, your company would like to analyze sales by grouping salesdistricts. However, there is no way of establishing relationships amongsales districts, either in the sales master data or in the enterprise structure.Therefore, you can take advantage of the user-defined hierarchies withinstandard analysis.

2-2 Your next analysis consists of your sales organizations and the materials they areselling. You are interested in this information based on product groups, which arecontained in the product hierarchy structure.

2-2-1 Using the sales organization standard analysis, create a list of all salesorganizations that have sold materials in the past six months.


2-2-3 Choose sales organization "Germany Frankfurt" to analyze. Drill down tothe first node of your product hierarchy.

The product hierarchy drilldown is available in all information structuresthat contain the material as one of the characteristics, including customerinformation structures.


2-2-5 What is the drilldown path for the product hierarchy drilldown?

© SAP AG LO930 4-26

2-2-6 How can you display the product hierarchy structure?

____________________________________________________________

____________________________________________________________

____________________________________________________________

____________________________________________________________


____________________________________________________________

____________________________________________________________

____________________________________________________________

____________________________________________________________

© SAP AG LO930 4-27

2-3 You now want to perform an analysis based on groups of sales districts. In order todo this, you must first establish a hierarchical relationship among your salesdistricts. Your hierarchy:

Your reporting nodes are Germany, France, United States, and Mexico.

Germany USA

NorthernGermanyDE0010

SouthernGermanyDE0015

USWesternregion

US0020

EasternGermanyDE0025

WesternGermanyDE0020

USNorthern

regionUS0010

USMidwestregion

US0015

Northern FranceFR0010

France

USEastern

region US0025

EasternFrance FR0025

WesternFrance FR0020

SouthernFrance FR0015

Mexico

Region 3 MX0020

Region 1 MX0010

Region 2 MX0015

Region 4 MX0025

2-3-1 From within the Environment menu of the Sales Information System, createa general hierarchy for your sales districts. Use the name +,(5�� withdescription 'LVWULFW�KLHUDUFK\�IRU�JURXS�� Use data element %=,5. -Sales District.


© SAP AG LO930 4-28

2-4 You now want to perform the same analysis as before using your new districthierarchy. Using the sales organization standard analysis and your new hierarchy,create a list of all sales organizations that have sold materials in the past six months.

Your new district hierarchy drilldown is available in all informationstructures that contain the district as one of the characteristics, includingcustomer information structures.

2-4-1 Choose sales organization "Germany Frankfurt" to analyze. Drill down toyour district hierarchy.

2-4-2 Continue drilling down until you reach the sold-to party.

*2-5 Your reporting structure has changed from two-level reporting to three-levelreporting with sales district. Your organization has changed to the following:

Europe

FranceGermany

North America

USA Mexico

2-5-1 Change your sales district hierarchy to reflect this change.

1. Create new top-level nodes Europe and North America.

2. Individually select each tree structure and reassign it to its new node.The nodes Germany, France, United States, and Mexico will besubordinate nodes to Europe and North America.

2-5-2 Rerun your sales organization standard analysis using your hierarchy. Drilldown until you get to sold-to party.

© SAP AG LO930 4-29

6ROXWLRQV



1-1 Create the selection version 69�� for the vendor analysis (s012). Enter thedescription 6HOHFWLRQ�YHUVLRQ�IRU�JURXS��/RJLVWLFV�→�/RJLVWLFV�&RQWUROOLQJ�→�3XUFKDVLQJ�,QIRUPDWLRQ�6\VWHP�→6WDQGDUG�DQDO\VHV�→�6HOHFWLRQ�YHUVLRQ�→�&UHDWH$VVLJQ�WKH�QDPH�69��DQG�HQWHU�D�GHVFULSWLRQ�µ6HOHFWLRQ�YHUVLRQ�IRU�JURXS��¶�6HOHFW�LQIR�VWUXFWXUH�6��3XUFKDVLQJ��(QWHU�1-1-1 Normally three months of data are viewed in a specific currency (of your


'HILQH�\RXU�UHTXLUHG�FXUUHQF\�LQ�WKH��$QDO\VLV�FXUUHQF\��ILHOG�(QWHU��DV�WKH�QXPEHU�RI�SHULRGV�6HOHFW��.H\�DQG�GHVFULSWLRQ��'HILQH�D�FKDUDFWHULVWLF�FROXPQ�ZLGWK�RI��

1-1-2 Select the following characteristics and arrange them in the sequence:Purchasing organization, Vendor, Material group and Material.

&OLFN�>&KRRVH�FKDUDFWHULVWLFV@�2Q�WKH�ULJKW�VLGH�RI�WKH�GLVSOD\��VHOHFW�WKH�FKDUDFWHULVWLFV�3XUFKDVLQJRUJDQL]DWLRQ��9HQGRU��0DWHULDO�*URXS�DQG�0DWHULDO��3UHVV�WKH�OHIW�DUURZ�FKRRVH�EXWWRQ��7KH�ILHOGV�ZLOO�PRYH�IURP�WKH�ULJKW�VLGH�RI�WKH�GLVSOD\�WR�WKHOHIW�VLGH�RI�WKH�GLVSOD\�0RYH�WKH�FKDUDFWHULVWLFV�LQWR�WKH�FRUUHFW�RUGHU�

© SAP AG LO930 4-30

1-1-3 Choose key figures: 2UGHU�YDOXH, 2UGHU�TXDQWLW\, and ,QYRLFHG�DPRXQW. Allkey figures should be displayed without decimal places.

&OLFN�>&KRRVH�NH\�ILJXUHV@�2Q�WKH�ULJKW�VLGH�RI�WKH�GLVSOD\��VHOHFW�WKH�NH\�ILJXUHV��3UHVV�WKH�OHIW�DUURZ�FKRRVH�EXWWRQ��7KH�ILHOGV�ZLOO�PRYH�IURP�WKH�ULJKW�VLGH�RI�WKH�GLVSOD\�WR�WKHOHIW�VLGH�RI�WKH�GLVSOD\�0RYH�WKH�NH\�ILJXUHV�LQWR�WKH�FRUUHFW�RUGHU�6HOHFW�QR�GHFLPDO�SODFHV�IRU�DOO�NH\�ILJXUHV�>6DYH@�


6WDQGDUG�DQDO\VHV�→�6HOHFWLRQ�YHUVLRQ�→�&KDQJH&KRRVH�>(QWHU@�&OLFN�>9DULDQW@�6HOHFW��9DULDQW�IRU�DOO�VHOHFWLRQ�VFUHHQV��DQG�GHVHOHFW��)XOOVFUHHQ��>&RQWLQXH@�&OLFN�>$WWULEXWHV@�RU�FKRRVH�(GLW�→ $WWULEXWHV�(QWHU�D�GHVFULSWLRQ��IRU�H[DPSOH�JURXS�QDPH�6DYH�WKH�YDULDQW�DWWULEXWH�


6WDQGDUG�DQDO\VHV�→�6HOHFWLRQ�YHUVLRQ�→ �6FKHGXOH7KH�VHOHFWLRQ�YHUVLRQ�\RX�FUHDWHG�VKRXOG�GHIDXOW��&KRRVH�>6FKHGXOH@�&KRRVH�>,PPHGLDWH@�>6DYH@�6HOHFW�>-RE�RYHUYLHZ@�LI�\RX�ZDQW�WR�PRQLWRU�WKH�MRE�,I�WKH�MRE�LV�DFWLYH��VHOHFW�>5HIUHVK@��XQWLO�LW�LV�ILQLVKHG�


6WDQGDUG�DQDO\VHV�→�6HOHFWLRQ�YHUVLRQ�→�*HQHUDO�RYHUYLHZ6HOHFW�WKH�KLHUDUFK\�IRU�WKH�LQIRUPDWLRQ�VWUXFWXUH�XVHG�6HOHFW�WKH�KLHUDUFK\�IRU�WKH�VHOHFWLRQ�YHUVLRQ6HOHFW�D�FKDUDFWHULVWLF�DQG�FOLFN�>6HOHFW��GDWD@�


6WDQGDUG�DQDO\VHV�→�6HOHFWLRQ�YHUVLRQ�→ �6FKHGXOH6HOHFW�>'DWH�7LPH@6HOHFW�WRGD\¶V�GDWH�DQG�DVVLJQ�D�WLPH��IRU�H[DPSOH��6HOHFW��3HULRGLF�MRE��DQG�FOLFN�>3HULRG�YDOXHV@6HOHFW�>'DLO\@�DQG�WKHQ�VDYH�

© SAP AG LO930 4-31


1-2 Your next analysis consists of your purchasing organizations and the materials youare buying from them. You are interested in this information based on materialclass.

1-2-1 Using the material standard analysis, create a list of all materials purchasedby the purchasing organization ��, during the past six months.

<RX�ZLOO�QHHG�WR�GHILQH�\RXU�RZQ�GHIDXOW�VHWWLQJV�IRU�WKH�PDWHULDODQDO\VLV��DV�\RX�QHHG�WR�LQFOXGH�SXUFKDVLQJ�RUJDQL]DWLRQ�DV�WKH�ILUVWFKDUDFWHULVWLF�LQ�WKH�GULOOGRZQ�VHTXHQFH�,I�\RX�DUH�XQVXUH�RI�WKH�VWHSV��UHIHU�WR�8QLW��6WDQGDUG�$QDO\VHV�LQ�/,6�([HUFLVH��/RJLVWLFV�→�/RJLVWLFV�&RQWUROOLQJ�→�3XUFKDVLQJ�,QIRUPDWLRQ�6\VWHP�→6WDQGDUG�DQDO\VHV�→�0DWHULDO,Q�WKH�VHOHFWLRQ�VFUHHQ��VSHFLI\�SXUFKDVLQJ�RUJDQL]DWLRQ��&KDQJH�WKH�SHULRG�WR�DQDO\]H�WR�LQFOXGH�WKH�ODVW�VL[�PRQWKV�([HFXWH�


([WUDV�→ 6HOHFWLRQ�ORJ6��±�3XUFKDVLQJ

1-2-3 Choose purchasing organization ,'(6�*HUPDQ\ to analyze. Drill down tothe first node of the material class hierarchy.

Material class hierarchy drilldown is available in all informationstructures that have material as one of the characteristics, including self-defined information structures.

&OLFN�RQFH�RQ�WKH�FKDUDFWHULVWLF�,'(6�*HUPDQ\�9LHZ�→�+LHU��GULOO�GRZQ6HOHFW��0DWHULDO�FODVV��7KLV�ZLOO�GLVSOD\�WKH�ILUVW�QRGH�LQ�PDWHULDO�FODVV�

© SAP AG LO930 4-32


'RXEOH�FOLFN�RQ�HDFK�QRGH�FKDUDFWHULVWLF�WR�GULOO�GRZQ�WR�WKH�QH[W�OHYHO�7KH�JUHHQ�DUURZ�ZLOO�EULQJ�\RX�EDFN�WR�WKH�SUHYLRXV�OHYHO��1RWLFH�WKHGULOOGRZQ�SDWK�DW�WKH�WRS�RI�WKH�GLVSOD\�DERYH�WKH�GDWD�

1-2-5 What is the drilldown path for the material class drilldown?

7KH�GLIIHUHQW�QRGHV��WKHQ�WKH�PDWHULDO�

1-2-6 How can you display the material class structure?

2QFH�\RX�KDYH�GULOOHG�GRZQ�LQWR�WKH�PDWHULDO�FODVV�KLHUDUFK\��FKRRVH([WUDV→�'LVSOD\�KLHUDUFK\��7KHQ�FOLFN�WKH�DUURZ�LQ�WKH�KLHUDUFK\�WR�GULOOGRZQ�WKH�LQGLYLGXDO�QRGHV�


0DWHULDO�FODVV 3URGXFW�KLHUDUFK\0DWHULDO�JURXS�KLHUDUFK\ 9HQGRU�FODVV3ODQW�KLHUDUFK\ 4XDUWHU3URGXFW�JURXS� <HDU

© SAP AG LO930 4-33

1-3 You now want to perform an analysis based on groups of vendors by region. Inorder to do this, you must first establish a hierarchical relationship among yourvendors. Your hierarchy:

Your reporting nodes are Europe, subdivided into Germany and Great Britain.

Vendors by Region

Europe


North South

1000 1001 1004

1012 1002 1008

1014 1003

1015 1005

1006

1010

1011

© SAP AG LO930 4-34

1-3-1 In the Environment menu of the Purchasing Information System, create ageneral hierarchy for your vendors by region. Use the name +,(5�� withdescription 9HQGRUV�E\�UHJLRQ IRU�JURXS�� Use data element (/,)1�9HQGRU.

)URP�WKH�3XUFKDVLQJ�,QIRUPDWLRQ�6\VWHP��385&+,6��(QYLURQPHQW�→�*HQHUDO�KLHUDUFK\�→�&UHDWH)LHOG�1DPH 9DOXH+LHU��QDPH +,(5��'HVFULSWLRQ 9HQGRUV�E\�5HJLRQ�*5��,QIR�VWUXFWXUH V��'DWD�HOHPHQW (/,)1


&OLFN�RQFH�RQ�WKH�KLHUDUFK\�GHVFULSWLRQ�&OLFN�RQ�>&UHDWH�QRGHV@��SXVKEXWWRQ�ZLWK�D�VKHHW�RI�SDSHU��(QWHU�WKH�QRGH�(XURSH��&KRRVH�>&UHDWH@�6HOHFW�(XURSH�E\�FOLFNLQJ�RQ�LW�RQFH�DQG�FOLFN�RQ�>&UHDWH�QRGHV@�SXVKEXWWRQ�ZLWK�D�SLHFH�RI�SDSHU��(QWHU�WKH�QRGHV�*HUPDQ\�DQG�*UHDW�%ULWDLQ��&KRRVH�>&UHDWH@�6HOHFW�*HUPDQ\�DQG�HQWHU�WKH�QRGHV�1RUWK�DQG�6RXWK��&KRRVH�>&UHDWH@�6HOHFW�1RUWK�E\�FOLFNLQJ�RQ�LW�RQFH��&OLFN�RQ�>9HQGRU@�6HOHFW�WKH�9HQGRUV��DQG��%HIRUH�KDQG�\RX�FDQUHVWULFW�WKH�VHOHFWLRQ�OLVW�6HOHFW�6RXWK��&OLFN�RQ�>9HQGRU@�6HOHFW�WKH�9HQGRUV��DQG��6HOHFW�*UHDW�%ULWDLQ��&OLFN�RQ�>9HQGRU@�6HOHFW�WKH�9HQGRUV��DQG��6DYH�\RXU�KLHUDUFK\�

© SAP AG LO930 4-35

1-4 You now want to perform the same analysis as before using your new Vendor byregions hierarchy. Using the PDWHULDO standard analysis and your new hierarchy,create a list of all vendors that you have purchased materials from in the past sixmonths.

Your new hierarchy drilldown is available in all information structuresthat have vendors as one of the characteristics, including self-definedinformation structures.

6WDQGDUG�DQDO\VHV�→�0DWHULDO&KDQJH�WKH�SHULRG�WR�DQDO\]H�WR�LQFOXGH�WKH�ODVW�VL[�PRQWKV�([HFXWH�1-4-1 Choose purchasing organization ,'(6�*HUPDQ\ to analyze. Drill down to

your hierarchy.

You may need to define your own default settings for the materialanalysis, since you need to include purchasing organization as the firstcharacteristic in the drilldown sequence. Alternatively, you can go to thedrilldown according to purchasing organization after calling up theanalysis.

6ZLWFK�GULOOGRZQ�→ 3XUFKDVLQJ�RUJDQL]DWLRQ&OLFN�RQFH�RQ�,'(6�*HUPDQ\�9LHZ�→�+LHU��GULOO�GRZQ6HOHFW��9HQGRUV�E\�5HJLRQ�IRU�*URXS��<RX�ZLOO�VHH�WKH�KLHUDUFKLHVWKDW�ZHUH�FUHDWHG�E\�DOO�JURXSV�LQ�WKH�FODVV��7KLV�ZLOO�GLVSOD\�HDFK�QRGH�LQ�\RXU�GLVWULFW�KLHUDUFK\�

1-4-2 Continue drilling down until you reach the vendor.

'ULOO�GRZQ�E\�GRXEOH�FOLFNLQJ�RQ�WKH�FKDUDFWHULVWLFV�

© SAP AG LO930 4-36

8QLW��$GYDQFHG�6WDQGDUG�$QDO\VHV7RSLF��$XWRPDWLRQ�RI�6WDQGDUG�$QDO\VHV�8VLQJ�6HOHFWLRQ9HUVLRQVThere are 2 sets of exercises for this unit. This second set applies to the6DOHV�,QIRUPDWLRQ�6\VWHP.


2-1 Create a selection version SV##, of the standard sales analysis for customers (s001).Enter the description 6HOHFWLRQ�YHUVLRQ�IRU�JURXS��/RJLVWLFV�→�6DOHV�DQG�'LVWULEXWLRQ�→�6DOHV�,QIRUPDWLRQ�6\VWHP�→�6WDQGDUGDQDO\VHV�→�6HOHFWLRQ�YHUVLRQ�→�&UHDWH$VVLJQ�WKH�QDPH�69��DQG�HQWHU�D�GHVFULSWLRQ�µ6HOHFWLRQ�YHUVLRQ�IRU�JURXS��¶�6HOHFW�LQIR�VWUXFWXUH�6��&XVWRPHU��&KRRVH�>(QWHU@�2-1-1 Normally three months of data are viewed in a specific currency (of your


'HILQH�\RXU�UHTXLUHG�FXUUHQF\�LQ�WKH��$QDO\VLV�FXUUHQF\��ILHOG�(QWHU��DV�WKH�QXPEHU�RI�SHULRGV�6HOHFW��.H\�DQG�GHVFULSWLRQ��'HILQH�D�FKDUDFWHULVWLF�FROXPQ�ZLGWK�RI��

2-1-2 Select all the available characteristics and arrange them in the followingorder: Sold-to party, Month, Sales organization, Distribution channel,Division, and Material.

&OLFN�>&KRRVH�FKDUDFWHULVWLFV@�2Q�WKH�ULJKW�VLGH�RI�WKH�GLVSOD\��VHOHFW�DOO�FKDUDFWHULVWLFV��3UHVV�WKH�OHIWDUURZ��FKRRVH�EXWWRQ��7KH�ILHOGV�ZLOO�PRYH�IURP�WKH�ULJKW�VLGH�RI�WKHGLVSOD\�WR�WKH�OHIW�VLGH�RI�WKH�GLVSOD\�0RYH�WKH�FKDUDFWHULVWLFV�LQWR�WKH�FRUUHFW�RUGHU�

2-1-3 Choose the following key figures: ,QFRPLQJ�RUGHUV��,QFRPLQJ�RUGHUTXDQWLW\��6DOHV��All key figures should be displayed without decimal places.

6HOHFW�>&KRRVH�NH\�ILJXUHV@2Q�WKH�ULJKW�VLGH�RI�WKH�GLVSOD\��VHOHFW�WKH�NH\�ILJXUHV��3UHVV�WKH�OHIW�DUURZ�FKRRVH�EXWWRQ��7KH�ILHOGV�ZLOO�PRYH�IURP�WKH�ULJKW�VLGH�RI�WKH�GLVSOD\�WR�WKHOHIW�VLGH�RI�WKH�GLVSOD\�0RYH�WKH�NH\�ILJXUHV�LQWR�WKH�FRUUHFW�RUGHU�6HOHFW�QR�GHFLPDO�SODFHV�IRU�DOO�NH\�ILJXUHV�>6DYH@�

© SAP AG LO930 4-37


6WDQGDUG�DQDO\VHV�→�6HOHFWLRQ�YHUVLRQ�→�&KDQJH&KRRVH�>(QWHU@�&OLFN�>9DULDQW@�6HOHFW��9DULDQW�IRU�DOO�VHOHFWLRQ�VFUHHQV��DQG�GHVHOHFW��)XOOVFUHHQ��>&RQWLQXH@�&OLFN�>$WWULEXWHV@�RU�FKRRVH�(GLW�→ $WWULEXWHV�(QWHU�D�GHVFULSWLRQ��IRU�H[DPSOH�JURXS�QDPH�6DYH�WKH�YDULDQW�DWWULEXWH�


6WDQGDUG�DQDO\VHV�→�6HOHFWLRQ�YHUVLRQ�→ �6FKHGXOH7KH�VHOHFWLRQ�YHUVLRQ�\RX�FUHDWHG�VKRXOG�GHIDXOW��&KRRVH�>6FKHGXOH@�&KRRVH�>,PPHGLDWH@�>6DYH@�6HOHFW�>-RE�RYHUYLHZ@�LI�\RX�ZDQW�WR�PRQLWRU�WKH�MRE�,I�WKH�MRE�LV�DFWLYH��VHOHFW�>5HIUHVK@��XQWLO�LW�LV�ILQLVKHG�


6WDQGDUG�DQDO\VHV�→�6HOHFWLRQ�YHUVLRQ�→�*HQHUDO�RYHUYLHZ6HOHFW�WKH�KLHUDUFK\�IRU�WKH�LQIRUPDWLRQ�VWUXFWXUH�XVHG�6HOHFW�WKH�KLHUDUFK\�IRU�WKH�VHOHFWLRQ�YHUVLRQ6HOHFW�D�FKDUDFWHULVWLF�DQG�FOLFN�>6HOHFW��GDWD@


6WDQGDUG�DQDO\VHV�→�6HOHFWLRQ�YHUVLRQ�→ �6FKHGXOH6HOHFW�>'DWH�7LPH@6HOHFW�WRGD\¶V�GDWH�DQG�DVVLJQ�D�WLPH��IRU�H[DPSOH��6HOHFW��3HULRGLF�MRE��DQG�FOLFN�>3HULRG�YDOXHV@6HOHFW�>'DLO\@�DQG�WKHQ�VDYH�

© SAP AG LO930 4-38


2-2 Your next analysis consists of your sales organizations and the materials they areselling. You are interested in this information based on product groups, which arecontained in the product hierarchy structure.

2-2-1 Using the sales organization standard analysis, create a list of all salesorganizations that have sold materials in the past six months.

/RJLVWLFV�→�/RJLVWLFV�&RQWUROOLQJ�→�6DOHV�,QIRUPDWLRQ�6\VWHP�→6WDQGDUG�DQDO\VHV�→�6DOHV�RUJDQL]DWLRQ&KDQJH�WKH�SHULRG�WR�DQDO\]H�WR�LQFOXGH�WKH�ODVW�VL[�PRQWKV�([HFXWH�


6��±�6DOHV�2UJDQL]DWLRQ2-2-3 Choose sales organization "Germany Frankfurt" to analyze. Drill down to

the first node of your product hierarchy.

The product hierarchy drilldown is available in all information structuresthat contain the material as one of the characteristics, including customerinformation structures.

&OLFN�RQFH�RQ��*HUPDQ\�)UDQNIXUW��9LHZ�→�+LHU��GULOO�GRZQ6HOHFW��3URGXFW�KLHUDUFK\��7KLV�ZLOO�GLVSOD\�WKH�ILUVW�QRGH�LQ�WKH�SURGXFW�KLHUDUFK\�


'RXEOH�FOLFN�RQ�HDFK�QRGH�FKDUDFWHULVWLF�WR�GULOO�GRZQ�WR�WKH�QH[W�OHYHO�7KH�JUHHQ�DUURZ�ZLOO�EULQJ�\RX�EDFN�WR�WKH�SUHYLRXV�OHYHO��1RWLFH�WKHGULOOGRZQ�SDWK�DW�WKH�WRS�RI�WKH�GLVSOD\�DERYH�WKH�GDWD�

2-2-5 What is the drilldown path for the product hierarchy drilldown?

)LUVW�QRGH��VHFRQG�QRGH��DQG�WKLUG�QRGH��,I�\RX�KDYH�GHILQHG�\RXU�SURGXFWKLHUDUFK\�WR�FRQWDLQ�PRUH�WKDQ�WKUHH�QRGHV��WKH�VWDQGDUG�GULOOGRZQ�SDWKIROORZV�WKH�KLHUDUFK\�VWUXFWXUH�

© SAP AG LO930 4-39

2-2-6 How can you display the product hierarchy structure?

2QFH�\RX�KDYH�GULOOHG�GRZQ�LQWR�WKH�SURGXFW�KLHUDUFK\��FKRRVH�([WUDV→'LVSOD\�KLHUDUFK\��7KHQ�FOLFN�WKH�DUURZ�LQ�WKH�KLHUDUFK\�WR�GULOO�GRZQ�WKHLQGLYLGXDO�QRGHV�


&XVWRPHU�FODVV 3URGXFW�KLHUDUFK\&XVWRPHU�KLHUDUFK\ 4XDUWHU0DWHULDO�FODVV <HDU3URGXFW�JURXS

2-3 You now want to perform an analysis based on groups of sales districts. In order todo this, you must first establish a hierarchical relationship among your salesdistricts. Your hierarchy:

Your reporting nodes are Germany, France, United States, and Mexico.

Germany USA

NorthGermanyDE0010

SouthGermanyDE0015

WesternUSA Region

US0020



NorthernUSA Region

US0010

Mid-WestUSA Region

US0015

NorthernFrance

FR0010

France

EasternUSA Region

US0025

EasternFrance

FR0025

WesternFrance

FR0020

SouthernFrance

FR0015

Mexico

Region 3MX0020

Region 1MX0010

Region 2MX0015

Region 4MX0025

2-3-1 From within the Environment menu of the Sales Information System, createa general hierarchy for your sales districts. Use the name +,(5�� withdescription 'LVWULFW�KLHUDUFK\�IRU�JURXS�� Use data element %=,5. -Sales District.

)URP�WKH�6DOHV�,QIRUPDWLRQ�6\VWHP��6,6��FKRRVH�(QYLURQPHQW�→�*HQHUDO�KLHUDUFK\�→�&UHDWH)LHOG�1DPH 9DOXH+LHU��QDPH +,(5��'HVFULSWLRQ 'LVWULFW�+LHUDUFK\�*URXS��,QIR�VWUXFWXUH V��'DWD�HOHPHQW %=,5.

© SAP AG LO930 4-40


&OLFN�RQFH�RQ�WKH�KLHUDUFK\�GHVFULSWLRQ�&OLFN�RQ�>&UHDWH�QRGHV@��SXVKEXWWRQ�ZLWK�D�VKHHW�RI�SDSHU��(QWHU�WKH�QRGHV�*HUPDQ\��8QLWHG�6WDWHV��)UDQFH��&KRRVH�>&UHDWH@�6HOHFW�*HUPDQ\�E\�FOLFNLQJ�RQ�LW�RQFH�&OLFN�RQ�>'LVWULFW@�6HOHFW�WKH�GLVWULFWV�'(��'(��'(��DQG�'(��&OLFN�RQ�>&RS\@�6HOHFW�8QLWHG�6WDWHV�&OLFN�RQ�>'LVWULFW@�6HOHFW�86��86��86��DQG�86��<RX�FDQ�GHVHOHFW�E\FOLFNLQJ�RQFH�PRUH�RQ�WKH�HQWU\�&OLFN�RQ�>&RS\@�WR�FRS\�WKH�OLVW�WR�WKH�KLHUDUFK\�6HOHFW�)UDQFH�&OLFN�RQ�>'LVWULFW@�6HOHFW�WKH�GLVWULFWV�)5��)5��)5��DQG�)5��6HOHFW�0H[LFR�&OLFN�RQ�>'LVWULFW@�6HOHFW�WKH�GLVWULFWV�0;��0;��0;��DQG�0;��6DYH�\RXU�KLHUDUFK\�3UHVV�WKH�JUHHQ�DUURZ�WR�UHWXUQ�WR�WKH�6,6�

2-4 You now want to perform the same analysis as before using your new districthierarchy. Using the sales organization standard analysis and your new hierarchy,create a list of all sales organizations that have sold materials in the past six months.

Your new district hierarchy drilldown is available in all informationstructures that contain the district as one of the characteristics, includingcustomer information structures.

6WDQGDUG�DQDO\VHV�→�6DOHV�RUJDQL]DWLRQ&KDQJH�WKH�SHULRG�WR�DQDO\]H�WR�LQFOXGH�WKH�ODVW�VL[�PRQWKV�([HFXWH�2-4-1 Choose sales organization "Germany Frankfurt" to analyze. Drill down to

your district hierarchy.

&OLFN�RQFH�RQ��*HUPDQ\�)UDQNIXUW��9LHZ�→�+LHU��GULOO�GRZQ6HOHFW��'LVWULFW�+LHUDUFK\�*URXS��<RX�ZLOO�VHH�WKH�GLVWULFW�KLHUDUFKLHVWKDW�ZHUH�FUHDWHG�E\�DOO�JURXSV�LQ�WKH�FODVV�7KLV�ZLOO�GLVSOD\�HDFK�QRGH�LQ�\RXU�GLVWULFW�KLHUDUFK\�

© SAP AG LO930 4-41

2-4-2 Continue drilling down until you reach the sold-to party.

'ULOO�GRZQ�E\�GRXEOH�FOLFNLQJ�RQ�WKH�FKDUDFWHULVWLFV�

*2-5 Your reporting structure has changed from two-level reporting to three-levelreporting with sales district. Your organization has changed to the following:

Europe

FranceGermany

NorthAmerica

USA Mexico

2-5-1 Change your sales district hierarchy to reflect this change.

1. Create new top-level nodes Europe and North America.

)URP�WKH�6DOHV�,QIRUPDWLRQ�6\VWHP��6,6��PHQX��FKRRVH�(QYLURQPHQW�→�*HQHUDO�KLHUDUFK\�→�&KDQJH(QWHU�\RXU�KLHUDUFK\�+,(5��&KRRVH�>(QWHU@�6HOHFW�\RXU�KLHUDUFK\�E\�FOLFNLQJ�RQFH�RQ�WKH�GHVFULSWLRQ�6HOHFW�>&UHDWH�QRGHV@�(QWHU�(XURSH�DQG�1RUWK�$PHULFD�&KRRVH�>&UHDWH@�

© SAP AG LO930 4-42

2. Individually select each tree structure and reassign it to its new node.The nodes Germany, France, United States, and Mexico will besubordinate nodes to Europe and North America.

6HOHFW�WKH�WUHH�VWUXFWXUH�*HUPDQ\�E\�FOLFNLQJ�RQFH�RQ�LW��7KHQ�FKRRVH(GLW�→ 6HOHFW��WUHH�VWUXFWXUH�6HOHFW�(XURSH�E\�FOLFNLQJ�RQ�LW�RQFH�&KRRVH�(GLW�→�5HDVVLJQ6HOHFW��6XERUGLQDWH��&OLFN�>5HDVVLJQ@�5HSHDW�WKLV�SURFHVV�IRU�HDFK�FRXQWU\�QRGH�>6DYH@�3UHVV�WKH�JUHHQ�DUURZ�

2-5-2 Rerun your sales organization standard analysis using your hierarchy. Drilldown until you get to sold-to party.

6WDQGDUG�DQDO\VHV�→�6DOHV�RUJDQL]DWLRQ&KDQJH�WKH�SHULRG�WR�DQDO\]H�WR�LQFOXGH�WKH�ODVW�VL[�PRQWKV�([HFXWH�&OLFN�RQFH�RQ��*HUPDQ\�)UDQNIXUW��9LHZ�→�+LHU��GULOO�GRZQ6HOHFW��'LVWULFW�+LHUDUFK\�*URXS��7KLV�ZLOO�GLVSOD\�HDFK�QRGH�LQ�\RXU�GLVWULFW�KLHUDUFK\�'ULOO�GRZQ�E\�GRXEOH�FOLFNLQJ�RQ�WKH�FKDUDFWHULVWLFV�

© SAP AG LO930 5-1

SAP AG 1999

l ([FHSWLRQ�UHSRUWLQJ�LQ�VWDQGDUG�DQDO\VHVl )LOWHU�RSWLRQV�LQ�H[FHSWLRQ�DQDO\VHVl 3HULRGLF�DQDO\VHV�LQ�(DUO\�:DUQLQJ�6\VWHPl *URXSLQJ�H[FHSWLRQVl (YHQW�GULYHQ�SHULRGLF�DQDO\VHV

&RQWHQWV�

(DUO\�:DUQLQJ�6\VWHP

© SAP AG LO930 5-2

SAP AG 1999

l ([HFXWH�VWDQGDUG�DQDO\VHV�ZLWK�DQ�H[FHSWLRQFRQGLWLRQ�DV�DQ�DGGLWLRQDO�VHOHFWLRQ�RSWLRQ

l 8VH�H[FHSWLRQ�DQDO\VHV�DV�RQOLQH�ILOWHUVl &UHDWH�DQ�DXWRPDWLF�ZHDN�SRLQW�DQDO\VLV


(DUO\�:DUQLQJ�6\VWHP��8QLW�2EMHFWLYHV

© SAP AG LO930 5-3

SAP AG 1999

)OH[LEOH�DQDO\VLV




•��

• �� • �!��"�#�! ��•�$�� #�� %��&�' ��(�

• �)� ��#�� *�� • ��+��+�#��


,�-./.0102!3 �4��(��5 �� 76

(DUO\�:DUQLQJ�6\VWHP��2YHUYLHZ

n The Early Warning System enables the decision-oriented selection and checking of weak pointswithin the logistics area. Exceptional situations will be detected by this system and can be transferredto the persons responsible via follow-on processing.

© SAP AG LO930 5-4

SAP AG 1999

l 0DQDJHPHQW�ZDQWV�WR�GHWHFW�DQG�HOLPLQDWHSRWHQWLDO�SUREOHPV�DW�DQ�HDUO\�VWDJH�

l 7KH\�UHTXLUH�DQDO\VHV�WKDW�ZLOO�VHDUFK��RQ�DSHULRGLF�EDVLV��IRU�H[FHSWLRQDO�VLWXDWLRQV��WR�HQDEOHWKHP�WR�FKHFN�IRU�ZHDN�DUHDV�LQ�/RJLVWLFV�

(DUO\�:DUQLQJ�6\VWHP��%XVLQHVV�6FHQDULR

© SAP AG LO930 5-5

SAP AG 1999


6[[[6[[[,QIR

6WUXFWXUHV,QIR

6WUXFWXUHV

. � �"��(��8��9 - �. � �+�#�(��8��9 - �

�$�� - ��:�� - �

- ��<;- ��#��&;=7��>�8>��9=7��"��>�8>��9

?�?�??(?(?

�7�� @ , � �� - ��A�#��@ , �8�!�� - �

'LVSOD\V�GHILQHGDODUP�VLWXDWLRQ

+LJKOLJKWVVSHFLILF�GDWD

(DUO\�:DUQLQJ�6\VWHP

n The Early Warning System enables you to search for exceptional situations and helps to detect andeliminate imminent problems at an early stage.

n The LIS provides the data that is analyzed by the EWS. Hence, the EWS can be used in anyLogistics Information System.

n The Early Warning System is based on information structures. Information updated in thesestructures can be analyzed using the EWS. This also applies to data that is updated using your ownprograms, e.g. from an external system.

n The EWS can be used both to indicate defined alarm situations and to highlight specific data in ananalysis.

© SAP AG LO930 5-6

SAP AG 1999

Complete list of highlighted exceptionalsituations

6\VWHP�GULYHQData check(e.g. on a weekly basis)

(YHQW�GULYHQCheck of FKDQJHGdata (e.g. daily)

�,QWHUDFWLYH 3HULRGLF�$QDO\VHV

Filter: Only the exceptionalsituations are output

= � ��BC��(�� ;#�! �Sold-toparty

Salesorder val.

Orderquantity

100,000230,000350,000

1,0002,000

1,800•

100020003000

= � �(�&��BC��(�!� ;��! �Sold-toparty

Salesorder val.

Orderquantity

230,000350,000

2,000 1,800

20003000

LISdata

Excep

tion

Excep

tion

)D[0DLO:RUNIORZ

)D[0DLO:RUNIORZ

(DUO\�:DUQLQJ�6\VWHP��)XQFWLRQDOLW\

n You can either use the Early Warning System interactively in the standard analyses or run it atregular intervals as a background job.

n If you use it interactively in the standard analyses, the exceptional situations are highlighted usingcolor codes or filtered in the exception analysis. This allows you to detect exceptional situations at anearly stage.

n In the periodic analysis, a list of the exceptional data is automatically sent to the designated recipientby fax, mail, or workflow.

© SAP AG LO930 5-7

SAP AG 1999

&XVWRPHU�DQDO\VLVSold-toparty

Incomingorders

Openorders

BuschMillerSchmitt •

543,750787,644653,268

•

1,548,3242,239,7831,323,178

0LOOHUMaterial Incoming

ordersOpenorders

M-01M-02M-03 •

253,750450,633153,268

•

548,3241,258,783

313,1270LOOHU��0DWHULDO��0��Month Incoming

ordersOpenorders

01/199802/199803/1998 •

53,750250,654113,268

•

249,657578,767216,958

&KDUDFWHULVWLFVSold-to partyMaterialMonth

5HTXLUHPHQWVOpen orders. > 200,000 redredOpen orders. > 100,000 yellow

2!3 ��@��" ��

(DUO\�:DUQLQJ�6\VWHP�LQ�6WDQGDUG�$QDO\VHV

n If you want to use the EWS in the standard analyses, you create an exception in the initial screen ofthe standard analysis. Carry out the standard analysis as normal.

n The characteristics which satisfy the exception are highlighted in color.

n Exceptional situations are always checked on the lowest level of aggregation. If an exception occursat this level, then the entries on a higher level are also highlighted in color.

n In the example above, the exception is checked at the level of sold-to party/material/month. Here thesold-to parties are highlighted for which materials exist which satisfy the requirements of theexception for at least one month. If you drill down further by double-clicking a sold-to party, thematerials that satisfy the exception for at least one month are highlighted.

© SAP AG LO930 5-8

SAP AG 1999

([FHSWLRQ�DQDO\VLVSold-toparty

Incomingorders

Openorders

Miller

787,6442,239,783

0LOOHU��0DWHULDO��0��Month Incoming

ordersOpenorders

02/199803/1998

250,654113,268

578,767216,958

0LOOHUMaterial Incoming

ordersOpenorders

M-02 450,6331,258,783


5HTXLUHPHQWVOpen orders. > 200,000 redOpen orders. > 100,000 yellow

2!3 ��@��" ��

(DUO\�:DUQLQJ�6\VWHP�DV�DQ�2QOLQH�)LOWHU

n Exceptions can be performed not only in standard analyses but also as independent exceptionanalyses.

n Unlike the standard analysis with exception, an exception analysis only displays data to which theexceptional situation applies. The exception acts as a data filter. Data that the exception does notapply to is not displayed.

n In the example above, the exception requirement is checked at the sold-to party/material/month level.Only those sold-to parties are displayed for whom materials satisfy the exception requirements for atleast one month. If you drill down further by double-clicking a sold-to party, all materials are listedthat satisfy the exception for at least one month. If you double-click a material, all the months arelisted in which the exception is satisfied for this material.

© SAP AG LO930 5-9

SAP AG 1999

157157 005005396396

,QIR�VWUXFWXUH,QIR�VWUXFWXUH6��6��

� �� #�%D+��!� 5 �� 5 �!�(�!� ;(�� E ��(D��!��GF%��HID�8��F�:�� 5 BJ��K�, � 3E ��(D��!�� 5 ��>L � � ��C�K ��

2�3 ��@(� ��'M , ��8� ��F�N � @J@!�+��>��9

&KDUDFWHULVWLFV�/�� 5 N<��O@#��&�P;0 ��&�� 0 ��"�

2!3 ��@(� ��M�=Q�(�!��(��+�� (��

=R��#�(�G��(�� .H\�ILJXUHV

5HTXLUHPHQWV- ��BS8��9T�� 5 ��&�VUXW(Y�Y(Z Y(Y(Y

2!3 ��@(� ��'M![��(\ � >��B]��(�4�

6:��D>��J�&��\ � >��#B]��=R��!�!�(�]H*��;GD 9 � ��

��([FHSWLRQ

'HILQLQJ�DQ�([FHSWLRQ

n To create an exception, follow the steps described below:

é Since an exception is always created with reference to an information structure, the characteristicsare selected from this info structure. The sequence of characteristics defines the subsequentstandard drilldown and the level at which the requirement is checked.

é The key figures are also selected from the info structure. Then the exception requirements for theselected key figures can be defined.

é In a third step the follw-up processing of the exception is defined.

n The individual elements of these three steps are shown in detail on the following slides.

© SAP AG LO930 5-10

SAP AG 1999

=R��#�(�G��(��!��

6HOHFWLRQSold-to partyMaterialMonth

3RRODivisionSales organiz.Dist. channel


��([FHSWLRQ

&KDUDFWHULVWLFVSold-to party

Material Month

2#3 �(��@�� 'M�=R�(��+�(��4�!��

^ _I`�`baIc7dI_Ie�fKebdhgKc�f&i abg&i dha

=R�(��+��&�!�� )��

=R�(��+�(��&�� 0 ��4�!�� !�

j1@0 ��&�� , �+��B �+�M-01 M-02 EQ

7KH�NH\�ILJXUH�FKHFNDOZD\V�WDNHV�SODFH�DWWKH�ORZHVW�FKDUDFWHULVWLFOHYHO�

k

&KDUDFWHULVWLFV

n You can select any characteristic in an information structure to define the characteristics of anexception.

n Please note that when you select the characteristics you also define the aggregation level at which thecheck for the exception will take place. The key figure check always takes place at the lowestcharacteristic level.

n The sequence of the selected characteristics serves to define the standard drilldown sequence in astandard analysis, which is triggered by the exception.

n In addition, it is possible to restrict checking of the requirements to specified characteristic values. Ifyou double-click on the selected characteristic, a selection screen will appear where you can enter therestriction. This is useful when you choose a large amount of data for the subsequent analysis butwish to limit checking of the requirements to specified characteristic values.

© SAP AG LO930 5-11

SAP AG 1999

2!3 �(��@�� 'M , � �8� ��F%Nlm@ . �+�!��K��9

&KDUDFWHULVWLFV .H\�ILJXUHV157157 005005

396396��([FHSWLRQ

6WDQGDUG�DQDO\VLVActive for std analysis Color in list n

k3HULRGLF�DQDO\VHV

Active for periodic analysiskTransfer to workflow

No transfer...

Send mail to:

Fax

Form

Transfer to distrib. list

Distribution list

)ROORZ�8S�3URFHVVLQJ

n In the follow-up processing, you define whether the exception is active for the standard analysisand/or a periodic analysis.

n You also define the color used to highlight the exceptional values determined via the requirements inthe standard analysis.

n In addition, you can define how the result of a periodic analysis is to be further processed (workflow,mail, distribution list, fax).

© SAP AG LO930 5-12

SAP AG 1999

,QIRVWUXFWXUH

7KUHVKROG�YDOXH7KUHVKROG�YDOXH

7UHQG7UHQG

. � ��oP�(�� 'BO@�� #��. � ��o<�(�� BS@(��


��([FHSWLRQ

157157 005005396396

.H\�ILJXUHV

/LQN And Or

5HTXLUHPHQWVIncoming orders > 200,000Incom. orders Negative trendOpen orders

2�3 ��@�� 'M�[$�(\ � P�&�#BJ��4�

6:��DP�(�]��\ � >�+��BC��=p�#�!�#�(�JH��;XD 9 � �+��

=R��!�!�(�]H*��;GD 9 � ��

6HOHFWLRQIncoming ordersOpen orders

3RROSalesPO itemsIncoming orders MFreight billing doc...................

5HTXLUHPHQWV

n You select those key figures of an info structure that are required for the definition of an exception.

n Several requirements can be defined both for several key figures and for each individual key figure.There are three types of requirements:

é Threshold values: identifies the key figure values that exceed or fall below a specific thresholdvalue, e.g. incoming orders value > 200,000.

é Trend: identifies the key figure values that demonstrate a predefined trend, e.g. a negative trend.

é Planned/actual comparison: identifies the key figure values for which the actual data deviates fromthe planned data by more than a predefined percentage, e.g. 10 %.

n The individual requirements you defined can be linked by means of $QG or 2U.

© SAP AG LO930 5-13

SAP AG 1999

Period to analyzePrevious periods

Future periods

Incl. act.k

2!3 ��!@��" � �'M�[ �#\ � >�+��BC��4�


Future periods

Incl. act.k

2!3 ��!@��" � �'M�[ �#\ � >�+��BC��4�

n

q

No. forecasting per.

E �'�&��!�#�� 5Gr �!� � � � �� ;#�! �

Separate periods

- �#��BS8��9C� � 5 �� W�Y�Y(ZKY�Y�Y≥

W

DE F

&XUUHQW�SHULRG

D��E��F�≥��"

= � ��@�� 5� L

$FWXDO)RUHFDVW

D��E�≥��"


E ��!�#�� 5Gr �� !� ;(��

Separate periods

- ��BO8��9C� � 5 �� W�Y�Y�Z>Y�Y�Y≥

7KUHVKROG�9DOXH�$QDO\VLV

n To analyze the threshold value, you enter a threshold value for a key figure and an operator for thethreshold value (e.g. incoming orders value > 200,000).

n The threshold value in the example above is defined so that the exception is satisfied when the totalof the incoming orders values of the last three months, including the current month, exceeds 200,000.The number of periods defines the number of periods to be analyzed. If the option "Separate periods"is selected, each individual period is checked instead of the key figure value total of these threeperiods.

n Any other currencies are converted into the specified analysis currency, before the check forexceptions takes place.

n You can also carry out a threshold value test to analyze future developments. You need to choose thenumber of forecast periods that you want to test. A forecast then takes place for the next few periods(2 in this case) which is based on the number of periods you have selected (7 in this case). Athreshold value analysis is then carried out for the forecasted values.

© SAP AG LO930 5-14

SAP AG 1999

= � ��+��@#�� 5 = � ��!��@(�� 5

= � ��!��@(�� 5 = � ��&��@(�!�� 5


Future periods

Incl. act.

2�3 �(��@�� 'M�[��\ � P�&�#BJ��4�

Negative trendPositive trend

Statist. test

E �� 5 � �(�� ;(��

Trend

- ��(��Bs8��9C�� 5 ��


Future periods

Incl. act.

2�3 �(��@�� 'M�[��\ � K��BC��4�

�

�

Negative trendPositive trend

Statist. test

E �� 5 � �(�� ;(��

Trend

- ��(��Bs8��9C�� 5 ��

k

7UHQG�$QDO\VLV

n The trend analysis determines whether there is a positive or negative trend in the dataset with regardto the selected key figure.

n Based on the dataset and the number of periods to analyze (6 in this case), the system checks whetheror not a trend exists. It is not possible to determine a trend if only one period to analyze is selected. Ifa positive trend exists and no statistical test has been performed, an exceptional situation will occur ifeach value exceeds the value in the previous period.

n If the period to analyze extends over 3 or more periods, you can also carry out a statistical trend testfor each individual requirement by means of statistical resources. This is recommended if you wantto know whether a general trend exists, even if the dataset contains outliers. If a positive trend existsand a statistical test has been performed, an exception will occur when the system detects a trendwith a probability of 95 %.

n If there are 3 or 4 past periods available to carry out a statistical test for a trend, a regression line isdrawn upon which the trend is based. If there are 5 or more past periods, a reliable statistical test fora trend can be performed. If you select only two past periods, the system only determines whetherthe second period value is greater or less than the first value.

© SAP AG LO930 5-15

SAP AG 1999

= � ��&�!��$@(�� 5

. � ��(� 5 Y�Y�t� ��

�$FWXDO�SODQQHG�� u ��"


Future periods

Incl. act.

2�3 ��@�� 'M![��(\ � >��BC��(�<�2�3 �(��@�� 'M�[��\ � K��BC��4�


. � ��!�� 5 o � �� =A�'Bs@(�!�� #� �. � ��!�(� 5 o � �� !��=A��BO@(�� #��

Separate periods

v Y<

Planning versionPlan realization w

Y�Y�t


Future periods

Incl. act.

2�3 ��@�� 'M![��(\ � >��BC��(�<�2�3 �(��@�� 'M�[��\ � K��BC��4�

= � ��!��@��!� � 5

. � �!�!�� 5 Y(Y�t� �� , ��(�(��

�)RUHFDVW�SODQQHG�� u ��"

� L


. � ��!�� 5 o � �� =A�'Bs@(�!�� #� �. � ��!�(� 5 o � �� !��=A��BO@(�� #��

Separate periods

v Y<

Planning versionPlan realization w

Y�Y�t

W

W

x

3ODQQHG�$FWXDO�&RPSDULVRQ

n The planned/actual comparison compares planned data of a specific planning version with actualdata. You can check the realization of the plan and determine the weak points with respect toplanned/actual values. To do this, you enter the plan realization percentage and an operator.

n In the first example, the planned values for a key figure are compared with the actual data. Anexceptional situation occurs when the realization of the plan is less than 90 %, i.e. when the actualdata falls short of the planned values by more than 10 %.Note: The exception is based on the total number of specified periods because the flag "Separateperiods" is not set.

n In the second example, the system creates a forecast for the next two periods, based on the values ofthe last six periods. The total of both forecasted values is compared with the total planned valuesassigned to these periods.

n This kind of analysis enables you to detect potential problems which lie in the distant future.

© SAP AG LO930 5-16

SAP AG 1999

6\VWHP�GULYHQ��$QDO\VLV�RI�HQWLUH��GDWD��:HHNO\��IRU�H[DPSOH

(YHQW�GULYHQ��$QDO\VLV�RI�GDWD��FKDQJHG�VLQFH�WKH��ODVW�FKHFN��'DLO\��IRU�H[DPSOH

,QIRUPDWLRQ�FDQ�EH�VHQW�E\�:RUNIORZ

,QIRVWUXFWXUHV

,QIRVWUXFWXUHV

(:6

(:6

3HULRGLFDQDO\VLV

6'

00

33

WR�WKH�XVHU0DLO )D[

3HULRGLF�$QDO\VLV

n You can schedule a periodic analysis to run as a background job in order to check the dataset forexceptional situations. The existing dataset is systematically checked for exceptional situations at anappropriate interval (hourly, daily, weekly, monthly). If an exceptional situation occurs, you will beinformed via mail, fax, or workflow and you can trigger follow-up processing.

n There are two types of periodic analyses:

é 6\VWHP�GULYHQ: the entire dataset specified for selection is checked for exceptional situations.Use: Month-end closing report, provides an overview of exceptional data

é (YHQW�GULYHQ: only data that has changed since the last check is read and checked.Use: Monitoring of ongoing transactions and operations at short intervals

n It is advisable to monitor particularly important key figures or characteristics using the event-drivenperiodic analysis. In all other cases, for example, a weekly check using the system-driven periodicanalysis may be performed.

n The following constraints need to be considered when conducting periodic analyses: For eachexception only one periodic analysis can be created. Therefore, you need to decide between system-driven and event-driven analyses. Although you can create several exceptions for one info structure,you can create only one event-driven analysis for each info structure.

© SAP AG LO930 5-17

SAP AG 1999

([FHSWLRQVE1: Incom. orders > 200,000E2: Incom. orders > 100,000E3: Incom. orders > 75,000

/LQNor

y1�+� � @ 2!3 ��!@(� ��'M(y�t


5HTXLUHPHQWVIncom. orders > 100,000, ��>� ��FGN � @s@!�+��'8��9Color: yellow

2�3 ��@(� ��'M 2 W


5HTXLUHPHQWVIncom. orders > 75,000, ��>� ��FGN � @T@!�+��8��9Color: green

2�3 ��@(� ��'M 2 n


5HTXLUHPHQWVIncom. orders > 200,000, � �>� ��FGN � @C@��+�!��!8�#9Color: red

2�3 ��!@��"8��'M 2 t

7KH�FKDUDFWHULVWLF�VHTXHQFH�PXVWEH�LGHQWLFDO�IRU�DOO�H[FHSWLRQV!

*URXSLQJ�([FHSWLRQV

n You can combine several exceptions in a group exception using "And" or "Or".

n When creating a group exception, you need to refer to the same info structure that was used for theindividual exceptions.

n Please note that the sequence of characteristics needs to be identical for all exceptions in the group.In addition, a group exception cannot be included in other group exceptions.

n The following slides give some examples of when grouping of exceptions is required.

© SAP AG LO930 5-18

SAP AG 1999

([FHSWLRQVE1: Incom. orders > 200,000E2: Incom. orders > 100,000

/LQNor

y%�"� � @ 2�3 �(��@�� 'M�y�t0LOOHU��0DWHULDO��0��Month Incoming

ordersOpenorders

02/199803/199804/199805/199806/199807/1998

50,000 35,00025,00010,00040,00055,000

201,000170,000130,000

95,000185,000225,000

2!3 ��@�� 'M 2 t


5HTXLUHPHQWVIncom. orders > 200,000, ��P� ��F%N � @T@��+�!��8��9Color: red

2�3 ��!@��"8��'M 2 W&KDUDFWHULVWLFVSold-to partyMaterialMonth

5HTXLUHPHQWVIncom. orders > 100,000, � �>� ��FGN � @T@!�+�!��!8�#9Color: yellow

&RORULQJ�:LWK�6HYHUDO�5HTXLUHPHQWV

n If you want to carry out an exception with two different requirements in a standard analysis andhighlight these two requirements in different colors, you have to use a group exception since thecoloring cannot be defined for each requirement individually but only for an entire exception.

© SAP AG LO930 5-19

SAP AG 1999

([FHSWLRQVE1: Incom. orders > 200,000E2: Incom. orders > 100,000

/LQNor

y1�+� � @ 2�3 �(��@�� 'M�y1t


ordersOpenorders

02/199803/199804/1998

50,000 35,00010,000

201,000170,000

95,000

2!3 ��@�� 'M 2 t&KDUDFWHULVWLFVSold-to partyMaterial

0 NPY!t�N 0 N�W�YMonth

5HTXLUHPHQWVIncom. orders > 200,000, ��P� ��F%N � @T@��+�!��8��9Color: red

2�3 ��!@��"8��'M 2 W&KDUDFWHULVWLFVSold-to partyMaterial

l:N<Y�t)N�l/N4W�YMonth

5HTXLUHPHQWVIncom. orders > 100,000, � �>� ��FGN � @T@!�+�!��!8�#9Color: red


ordersOpenorders

02/199803/199804/1998

50,000 35,00010,000

201,000170,000

95,000

0LOOHU��0DWHULDO��;<=Month Incoming

ordersOpenorders

02/199803/199804/1998

50,000 35,00010,000

201,000170,000

95,000

&KDUDFWHULVWLF�9DOXHV�DQG�'LIIHUHQW�5HTXLUHPHQWV

n To define an exceptional situation where different requirements apply to different characteristicvalues, you need to define an individual exception and its requirement for each characteristic valueconcerned.

n Since you want the result shown in a list and you can only assign one exception in the standardanalysis, the exceptions need to be grouped beforehand.

© SAP AG LO930 5-20

SAP AG 1999

([FHSWLRQVE1: Incom. orders > 200,000 Open orders > 20,000E2: Incom. orders < 200,000 Open orders > 10,000

/LQNOr

y%�+� � @ 2!3 ��@�� M�y�t 0LOOHU��0DWHULDO��0��Month Incoming

ordersOpenorders

02/199803/199804/199805/199806/199807/1998

25,000 5,000

15,0006,000

12,0009,000

201,000170,000230,000

95,000130,000185,000

2!3 ��@�� 'M 2 t&KDUDFWHULVWLFVSold-to partyMaterialMonth

5HTXLUHPHQWVIncom. orders > 200,000Open orders > 20,000

/LQNAnd

2!3 ��@�� 'M 2 W&KDUDFWHULVWLFVSold-to partyMaterialMonth

5HTXLUHPHQWVIncom. orders < 200,000Open orders > 10,000

/LQNAnd

0XOWLSOH�/LQNLQJ�8VLQJ�$QG�DQG�2U

n As mentioned before, several requirements can be defined in one exception. These requirementsneed to be linked with each other using "And" or "Or". Only one link of requirements can be definedfor each exception.

n If you want to link several requirements using "And" and "Or", use a group exception since a linkcan also be set in the group exception.

© SAP AG LO930 5-21

SAP AG 1999

l ([HFXWH�VWDQGDUG�DQDO\VHV�ZLWK�DQ�H[FHSWLRQFRQGLWLRQ�DV�DQ�DGGLWLRQDO�VHOHFWLRQ�RSWLRQ

l 8VH�H[FHSWLRQ�DQDO\VHV�DV�RQOLQH�ILOWHUVl &UHDWH�DQ�DXWRPDWLF�ZHDN�SRLQW�DQDO\VLV


(DUO\�:DUQLQJ�6\VWHP��8QLW�6XPPDU\

© SAP AG LO930 5-22

([HUFLVHV

8QLW��(DUO\�:DUQLQJ�6\VWHP7RSLF��([FHSWLRQ�5HSRUWLQJ�LQ�6WDQGDUG�$QDO\VHV

• Execute standard analyses with an exception condition as an additionalselection option.

• Use exception analyses as online filters.

Management has noticed that the number of vendors being used hasrecently risen considerably. An analysis is required to determine vendorssupplying material with an order value of less than 10000 DEM in agiven month, during the past three months. The analysis should includeorder value and order quantity, but the threshold is based on order value.


1-1 Use the Early Warning System and standard analyses to determine which vendorssupply materials with low order values.

1-1-1 Create an exception that analyzes month, vendors, and materials. Use thefollowing information:

• Use the name EWS-01-##. Include your group number in thedescription.

• Choose the Purchasing info structure (S012).

• Select the Month, Vendor, and Material characteristics.

• Include 3 months of data in your analysis, as well as the current period.

• Set your analysis currency to DEM.

• Use the "Order value" and "Order quantity" key figures.

• Base your threshold (requirement) on the order value.

• The threshold value is 10,000.

• Check each period separately.

• For follow-up processing:

Ensure that the exception is active for standard analyses.Display the exception rows in green.

© SAP AG LO930 5-23

1-1-2 Run standard analysis by vendor for the last three months, using your newexception.

1-1-3 When you run this analysis with your exception, you should see the message"Settings are copied from the exception". What settings is this referring to?(To see more information, press [?].)

1-1-4 Why do all lines appear in green?

1-1-5 Drill down through your characteristics until you see some lines that areNOT green. Why are these lines not green?

1-1-6 Do you see all data in this analysis, or only the data that meets the thresholdin your exception?

1-2 Run an exception analysis so that you see ONLY those Vendors and Materials thatfall below the threshold value.

1-2-1 What is different about these results?

1-2-2 Drill down through your characteristics. Are there any rows that are NOTgreen?

© SAP AG LO930 5-24

8QLW��(DUO\�:DUQLQJ�6\VWHP7RSLF��3HULRGLF�$QDO\VHV

• Create an automatic weak point analysis.

Management wants to see which vendors are supplying materials inexcess of 100,000 DEM. Order quantities will also be included in theanalysis, but the threshold is based on order value.

Once the exception has been created, management wants the analysis tobe carried out periodically. The results will then be sent to you via e-mail.

1-3 Use the Early Warning System and standard analyses to determine which vendorssupply materials in excess of this order value.












Ensure that the exception is active for standard analyses.Display the exception rows in red.Ensure that the exception is active for periodic analyses (for the nextexercise).Send a mail to your user name (LO930-##) for periodic processing.

© SAP AG LO930 5-25

1-4 Schedule a system-driven periodic analysis to run the above exception and send ane-mail to yourself with the results.

1-4-1 Create a variant (area to analyze) (:6�� in order to run this analysis in thebackground. In your variant, leave the standard analysis selection criteriablank.

1-4-2 Schedule your analysis to run immediately.

1-4-3 View the results of your background job.

1-4-4 What do you see in your e-mail?

1-4-5 From your e-mail message, how can you go to the exception analysis?

© SAP AG LO930 5-26

8QLW��(DUO\�:DUQLQJ�6\VWHP7RSLF��*URXS�([FHSWLRQV

• Create a group exception.

Management wants both analyses combined in one exception.

1-5 Use the Early Warning System and standard analyses to see the vendors supplyingmaterial of a low order value, or those that have exceeded the excess order value.

1-5-1 Create a group exception that combines the two exceptions createdpreviously. Use the following information:



• Assign the exceptions created previously, EWS-01-## and EWS-02-##.



• The link should be 25, since you want to see both situations.


Ensure that the exception is active for standard analyses.If there is sufficient time, activate the exception for a periodic analysis.

You can only assign individual exceptions to the group exceptionthat refer to the same information structure.

© SAP AG LO930 5-27

1-5-2 Execute a standard analysis by vendors using your new group exception.Repeat the steps described in the previous exercise. Substitute the values asexplained above.

1-5-3 Read the online documentation relating to (DUO\�:DUQLQJ�6\VWHP��2YHUYLHZ$OORFDWLQJ�([FHSWLRQV� Detail the rules that apply to allocating exceptions.

© SAP AG LO930 5-28


• Execute standard analyses with an exception condition as an additionalselection option.

• Use exception analyses as online filters.

Each of your divisions within each sales organization has a monthlybookings quota (orders taken) of 50000 DEM. Management wants to seewhich divisions within which sales organizations have not met their quotafor the past three months. They want to see incoming orders andincoming order quantities in the analysis, but the threshold is based onincoming orders (currency value).



2-1 Use the Early Warning System and standard analyses to see the sales organizationsand their divisions that have not met their bookings quota.

2-1-1 Create an exception that analyzes month, sales organization, and division.Use the following information:


• Choose the info structure for the Sales organization (S003).

• Select the "Sales organization", "Division", and "Month" characteristics.



• Use the ,QFRPLQJ�RUGHUV and ,QFRPLQJ�RUGHUV�TXDQWLW\�key figures.

• Base your threshold (requirement) on incoming orders.


(Continued on the next page)

© SAP AG LO930 5-29



Ensure that the exception is active for standard analyses.Display the exception rows in UHG.

2-1-2 Run a standard analysis by sales organization for the last three months usingyour new exception.


2-1-4 Why do all lines appear in red?

2-1-5 Drill down through your characteristics until you see some lines that areNOT red. Why are these lines not red?

2-1-6 Do you see all data in this analysis, or only the data that meets the thresholdin your exception?

2-2 Run an exception analysis so you see ONLY those sales organizations and divisionsthat are not meeting their quota.

2-2-1 What is different about these results?

_____________________________________________________________

_____________________________________________________________

_____________________________________________________________

2-2-2 Drill down through your characteristics. Are there any rows that are NOTred?

© SAP AG LO930 5-30


• Create an automatic weak point analysis.

Management wants to see which divisions within which salesorganizations have considerably exceeded their quota during the pastthree months. They want to see incoming orders in excess of 1000000DEM. Incoming order quantities will also be included in the analysis, butthe threshold is based on incoming orders (currency value).

Once the exception has been created, management wants the analysis tobe carried out periodically. The results will then be sent to you via e-mail.

2-3 Use the Early Warning System and standard analyses to see the sales organizationsand their divisions that have considerably exceeded their bookings quota.







• Use key figures Incoming orders and Incoming orders quantity.


• The threshold value is 1,000,000.



Ensure that the exception is active for standard analyses.Display the exception rows in green.Ensure that the exception is active for periodic analyses (for the nextexercise).Send a mail to your user name (LO930-##) for periodic processing.

© SAP AG LO930 5-31

2-4 Schedule a system-driven periodic analysis to run the above except/ion and send ane-mail to yourself with the results.




2-4-4 What do you see in your e-mail?

2-4-5 From your e-mail message, how can you go to the exception analysis?

© SAP AG LO930 5-32


• Create a group exception.

Management wants both analyses combined in one exception.

2-5 Use the Early Warning System and standard analyses to see the sales organizationsand their divisions that have not achieved their bookings quota and those that haveconsiderably exceeded their bookings quota.









Ensure that the exception is active for standard analyses.If there is sufficient time, activate the exception for a periodic analysis.


© SAP AG LO930 5-33

2-5-2 Execute a standard analysis by sales organization using your new groupexception. Repeat the steps described in the previous exercise. Substitute thevalues as explained above.


© SAP AG LO930 5-34

6ROXWLRQV



1-1 Use the Early Warning System and standard analyses to determine which vendorssupply materials with low order values.









The threshold value is 10,000.



Ensure that the exception is active for standard analyses.Display the exception rows in green.

© SAP AG LO930 5-35

)URP�WKH�3XUFKDVLQJ�,QIRUPDWLRQ�6\VWHP��385&+,6��PHQX��FKRRVH�(DUO\�:DUQLQJ�6\VWHP�→�([FHSWLRQ�→�&UHDWH�� (QWHU�WKH�QDPH�RI�\RXU�H[FHSWLRQ�(:6��DQG�WKH�GHVFULSWLRQ�RI

\RXU�H[FHSWLRQ��XVLQJ�\RXU�JURXS�QDPH��6SHFLI\�LQIR�VWUXFWXUH�6�� &KRRVH�>(QWHU@�� 7R�VHOHFW�FKDUDFWHULVWLFV��FOLFN�>&KRRVH�FKDUDFWHULVWLFV@�� 6HOHFW�WKH�0RQWK��9HQGRU��DQG�0DWHULDO�FKDUDFWHULVWLFV��6HOHFW�WKH

FKDUDFWHULVWLFV�LQ�WKLV�RUGHU��VLQFH�WKLV�ZLOO�EHFRPH�WKH�GHIDXOWGULOOGRZQ�SDWK�IRU�VWDQGDUG�DQDO\VHV�ZKHQ�WKLV�H[FHSWLRQ�LV�XVHG�

�� &KRRVH�>5HTXLUHPHQWV@�� (QWHU�'(0�DV�WKH�DQDO\VLV�FXUUHQF\�DQG�H[FKDQJH�UDWH�W\SH�0

�GHIDXOW�� (QWHU��IRU�QXPEHU�RI�SHULRGV�WR�DQDO\]H��,QFOXGH�WKH�DFWXDO�SHULRG

�GHIDXOW�� &OLFN�>&KRRVH�NH\�ILJXUHV@�� 6HOHFW��2UGHU�YDOXH��DQG��2UGHU�TXDQWLW\��&KRRVH�>(QWHU@�� <RX�QRZ�QHHG�WR�HVWDEOLVK�WKH�WKUHVKROG�YDOXH�IRU�\RXU�RUGHU�YDOXH�NH\

ILJXUH��2Q�WKH�5HTXLUHPHQWV�VFUHHQ��VHOHFW�WKH�RUGHU�YDOXH�E\�FOLFNLQJLW�RQFH�

�� &KRRVH�>'HILQH�UHTXLUHPHQW@�� 6HOHFW��7KUHVKROG�YDOXH�DQDO\VLV��DQG�>&RQWLQXH@�� 6HOHFW�WKH��OHVV�WKDQ��V\PERO��DQG�W\SH��IRU�\RXU�WKUHVKROG

YDOXH��:H�DUH�QRW�FRPSDULQJ�DJDLQVW�IRUHFDVW��VR�OHDYH�IRUHFDVWSHULRGV�EODQN��&KRRVH�WR�FKHFN�HDFK�SHULRG�VHSDUDWHO\�E\�VHOHFWLQJ�WKH�6HSDUDWH�SHULRGV��ILHOG��>&RQWLQXH@�

�� 7R�FKRRVH�WKH�H[FHSWLRQ�FRORU��VHOHFW�>)ROORZ�XS�SURFHVVLQJ@�� 8VLQJ�WKH�SXOO�GRZQ�DUURZ�IRU��&RORU�LQ�OLVW��)��FKRRVH�FRORU��

JUHHQ��>6DYH@�\RXU�H[FHSWLRQ�

© SAP AG LO930 5-36

1-1-2 Run standard analysis by vendor for the last three months, using your newexception.

6WDQGDUG�$QDO\VHV�→�9HQGRU/HDYH�DOO�FKDUDFWHULVWLF�VHOHFWLRQ�FULWHULD�EODQN�(QWHU�\RXU�H[FHSWLRQ�LQWR�WKH�ILHOG�([FHSWLRQ�&KDQJH�WKH�3HULRG�WR�DQDO\]H�WR��PRQWKV��>([HFXWH@�


7KH�VHWWLQJV�IRU�WKH�VWDQGDUG�GULOOGRZQ�DQG�WKH�NH\�ILJXUHV�DUH�FRSLHGDFFRUGLQJ�WR�WKH�H[FHSWLRQ��7KH�DQDO\VLV�FXUUHQF\�LV�DOVR�FRSLHG�IURP�WKHH[FHSWLRQ�

1-1-4 Why do all lines appear in green?

$W�WKH�ORZHVW�OHYHO�ZLWKLQ�WKH�GULOOGRZQ�SDWK��WKHUH�DUH�HQWULHV�WKDW�GR�QRWPHHW�WKH�WKUHVKROG��7KHUHIRUH��WKH�WRWDO�OLQHV�DUH�JUHHQ��HYHQ�WKRXJK�VRPHRI�WKH�GHWDLO�PD\�QRW�EH�

1-1-5 Drill down through your characteristics until you see some lines that areNOT green. Why are these lines not green?

7KHVH�OLQHV�DUH�QRW�H[FHSWLRQV�1-1-6 Do you see all data in this analysis, or only the data that meets the threshold

in your exception?

$OO�GDWD�URZV�DUH�GLVSOD\HG�

1-2 Run an exception analysis so that you see ONLY those Vendors and Materials thatfall below the threshold value.

�� ([LW�IURP�WKH�RULJLQDO�UHSRUW�XVLQJ�WKH�\HOORZ�DUURZ��'R�QRW�VDYH�\RXUDQDO\VLV�� 5HWXUQ�WR�WKH�3XUFKDVLQJ�,QIRUPDWLRQ�6\VWHP�PHQX�E\�FOLFNLQJ�WKH�JUHHQDUURZ�� 6WDQGDUG�DQDO\VHV�→�([FHSWLRQ�DQDO\VLV�� (QWHU�\RXU�H[FHSWLRQ�� >([HFXWH@��1RWH�\RX�DUH�QRZ�LQ�WKH�VDPH�VWDQGDUG�DQDO\VLV�FKDUDFWHULVWLF

VHOHFWLRQ�VFUHHQ��<RXU�H[FHSWLRQ�LV�DOUHDG\�HQWHUHG��>([HFXWH@�1-2-1 What is different about these results?

7KH�QXPEHUV�DUH�GLIIHUHQW��7KH\�UHIOHFW�21/<�WKH�GDWD�WKDW�PHHWV�WKHWKUHVKROG�FULWHULD��,Q�RWKHU�ZRUGV��RQO\�WKH�URZV�ZKRVH�RUGHU�YDOXH�LV�OHVVWKDQ��DUH�GLVSOD\HG�

1-2-2 Drill down through your characteristics. Are there any rows that are NOTgreen?

1R�

© SAP AG LO930 5-37


1-3 Use the Early Warning System and standard analyses to determine which vendorssupply materials in excess of this order value.












Ensure that the exception is active for standard analyses.

Display the exception rows in red.

Ensure that the exception is active for periodic analyses (for the nextexercise).

Send a mail to your user name (LO930-##) for periodic processing.

© SAP AG LO930 5-38

5HSHDW�WKH�VWHSV��GHWDLOHG�LQ�WKH�SUHYLRXV�H[HUFLVH��5HSODFH�WKH�YDOXHVDV�GHVFULEHG�DERYH�� 7R�FKRRVH�WKH�H[FHSWLRQ�FRORU�DQG�VHQG�DQ�H�PDLO�WR�\RXUVHOI��VHOHFW

>)ROORZ�XS�SURFHVVLQJ@�� 8VLQJ�WKH�SXOO�GRZQ�DUURZ�IRU�&RORU�LQ�OLVW��)��FKRRVH�FRORU��UHG�� 6HOHFW��$FWLYH�IRU�SHULRGLF�DQDO\VLV��6HOHFW��6HQG�PDLO�WR��(QWHU�\RXU�XVHU�QDPH��1RWH�WKDW�WKLV�IHDWXUH�LV

XVHG�RQO\�ZLWK�SHULRGLF�SURFHVVLQJ��>6DYH@�\RXU�H[FHSWLRQ�



)URP�WKH�3XUFKDVLQJ�,QIRUPDWLRQ�6\VWHP�PHQX��FKRRVH�(DUO\�:DUQLQJ�6\VWHP�→�3HULRGLF�DQDO\VLV�→�$UHD�WR�DQDO\]H�→�&UHDWH�� (QWHU�\RXU�H[FHSWLRQ��6HOHFW��6\VWHP�GULYHQ�� &KRRVH�>&UHDWH@�� (QWHU�D�QDPH�IRU�\RXU�YDULDQW��(:6�� &KRRVH�>&UHDWH@�� >&RQWLQXH@��5HPHPEHU�\RX�DUH�FUHDWLQJ�D�YDULDQW�IRU�D�EDFNJURXQG

MRE��<RX�DUH�QRW�UXQQLQJ�WKH�DQDO\VLV�RQOLQH��HYHQ�WKRXJK�\RX�DUHSURFHVVLQJ�WKH�VDPH�VFUHHQV��,Q�D�SURGXFWLYH�VLWXDWLRQ��\RX�FRXOG�HQWHUVHOHFWLRQ�FULWHULD�WR�UXQ�WKLV�DQDO\VLV��)RU�WKLV�H[HUFLVH��OHDYH�WKHVHOHFWLRQ�FULWHULD�EODQN�DQG�FKRRVH�>$WWULEXWHV@�

�� (QWHU�D�GHVFULSWLRQ�RI�\RXU�YDULDQW�� >6DYH@��5HWXUQ�WR�WKH�3XUFKDVLQJ�,QIRUPDWLRQ�6\VWHP�PHQX�XVLQJ�WKH

JUHHQ�DUURZ�

© SAP AG LO930 5-39


)URP�WKH�3XUFKDVLQJ�,QIRUPDWLRQ�6\VWHP�PHQX��FKRRVH�(DUO\�:DUQLQJ�6\VWHP�→�3HULRGLF�DQDO\VLV�→�6FKHGXOH<RXU�H[FHSWLRQ�VKRXOG�DSSHDU�� &KRRVH�>6FKHGXOH@�� &KRRVH�>,PPHGLDWH@�� >6DYH@��<RX�ZLOO�VHH�WKH�PHVVDJH��%DFNJURXQG�MRE�IRU�H[FHSWLRQ�(:6�

��VXFFHVVIXOO\�SODQQHG�� 5HWXUQ�WR�WKH�3XUFKDVLQJ�,QIRUPDWLRQ�6\VWHP�PHQX�XVLQJ�WKH�JUHHQ

DUURZ�1-4-3 View the results of your background job.

�� <RX�PD\�DOUHDG\�VHH�WKH�6$3RIILFH�H[SUHVV�LQIR�ZLQGRZ��,I�QRW��SUHVV>(QWHU@�

�� &KRRVH�2IILFH�→ :RUNSODFH�LQ�WKH�6$3�PHQX�RU�FKRRVH�>,QER[@�LQWKH�6$3RIILFH�H[SUHVV�LQIR�ZLQGRZ�GLUHFWO\�

�� &KRRVH�>,QER[@�� 6HOHFW�>8QYLHZHG�GRFXPHQWV@�RU�>'RFXPHQWV@�� 'RXEOH�FOLFN�\RXU�PHVVDJH��<RX�PD\�KDYH�WR�FOLFN�WKH��'RF��FRQWHQWV�

WDE�1-4-4 What do you see in your e-mail?

2QO\�WKRVH�FKDUDFWHULVWLF�FRPELQDWLRQV�WKDW�PHHW�WKH�UHTXLUHPHQW�LQ�WKHH[FHSWLRQ�

1-4-5 From your e-mail message, how can you view the exception analysis?

&KRRVH��'RFXPHQW�→�([HFXWH

© SAP AG LO930 5-40


1-5 Use the Early Warning System and standard analyses to see the vendors supplyingmaterial of a low order value, or those that have exceeded the excess order value.










If there is sufficient time, activate the exception for a periodic analysis.


)URP�WKH�3XUFKDVLQJ�,QIRUPDWLRQ�6\VWHP��385&+,6��PHQX��FKRRVH�(DUO\�:DUQLQJ�6\VWHP�→�*URXSLQJ�→�&UHDWH�� (QWHU�WKH�QDPH�RI�\RXU�H[FHSWLRQ�(:6��DQG�WKH�GHVFULSWLRQ�RI

\RXU�H[FHSWLRQ��XVLQJ�\RXU�JURXS�QDPH��6SHFLI\�LQIR�VWUXFWXUH�6�� &KRRVH�>(QWHU@�� (QWHU�'(0�IRU�WKH�DQDO\VLV�FXUUHQF\�DQG�H[FKDQJH�UDWH�W\SH�0


�GHIDXOW�� 6HOHFW�WKH�OLQN��25�� $OORFDWH�WKH�H[FHSWLRQV�(:6��DQG�(:6�� &KHFN�WKDW�IROORZ�XS�SURFHVVLQJ�LV�GHILQHG�� >6DYH@�\RXU�JURXS�H[FHSWLRQ�

© SAP AG LO930 5-41

1-5-2 Execute a standard analysis by vendors using your new group exception.Repeat the steps described in the previous exercise. Substitute the values asexplained above.


7KH�RQOLQH�GRFXPHQWDWLRQ�SURYLGHV�WKH�VROXWLRQ�� 2QO\�LQGLYLGXDO�H[FHSWLRQV�FDQ�EH�DVVLJQHG�WR�DQ�H[FHSWLRQ�JURXS��WKDW

LV��QR�RWKHU�H[FHSWLRQ�JURXS�FDQ�EH�DVVLJQHG�WR�DQ�H[FHSWLRQ�JURXS�� $OO�H[FHSWLRQV�LQ�WKH�H[FHSWLRQ�JURXS�PXVW�UHIHU�WR�WKH�VDPH

LQIRUPDWLRQ�VWUXFWXUH��WKDW�LV��\RX�FDQ�RQO\�DVVLJQ�WKRVH�H[FHSWLRQVZKLFK�KDYH�WKH�VDPH�XQGHUO\LQJ�LQIRUPDWLRQ�VWUXFWXUH�

�� $OO�H[FHSWLRQV�PXVW�KDYH�WKH�VDPH�FKDUDFWHULVWLFV�DQG�WKH�VDPHVHTXHQFH�RI�FKDUDFWHULVWLFV�VR�WKDW�WKH�VWDQGDUG�DQDO\VHV�DQG�H[FHSWLRQDQDO\VLV�DUH�GLVSOD\HG�LQ�WKH�VDPH�ZD\��7KH�ILUVW�DVVLJQHG�H[FHSWLRQZLWK�D�FKDUDFWHULVWLF�UHIHUHQFH�GHWHUPLQHV�WKH�FKDUDFWHULVWLFV�DQG�WKHLUVHTXHQFH�IRU�DOO�RI�WKH�H[FHSWLRQV��ZKLFK�FDQ�EH�DVVLJQHG�WR�WKHH[FHSWLRQ�JURXS�

�� <RX�FDQ�RQO\�DVVLJQ�WKRVH�H[FHSWLRQV�ZLWK�NH\�ILJXUHV�IRU�ZKLFK�\RXKDYH�DQ�DXWKRUL]DWLRQ

© SAP AG LO930 5-42




2-1 Use the Early Warning System and standard analyses to see the sales organizationsand their divisions that have not met their bookings quota.







Use the ,QFRPLQJ�RUGHUV and ,QFRPLQJ�RUGHUV�TXDQWLW\�key figures.






Display the exception rows in UHG.

© SAP AG LO930 5-43

)URP�WKH�6DOHV�,QIRUPDWLRQ�6\VWHP��6,6��PHQX��FKRRVH�(DUO\�:DUQLQJ�6\VWHP�→�([FHSWLRQ�→�&UHDWH�� (QWHU�WKH�QDPH�RI�\RXU�H[FHSWLRQ�(:6��DQG�WKH�GHVFULSWLRQ�RI

\RXU�H[FHSWLRQ��XVLQJ�\RXU�JURXS�QDPH��6SHFLI\�LQIR�VWUXFWXUH�6�� &KRRVH�>(QWHU@�� 7R�VHOHFW�FKDUDFWHULVWLFV��FOLFN�>&KRRVH�FKDUDFWHULVWLFV@�� 6HOHFW�WKH�FKDUDFWHULVWLFV�0RQWK��6DOHV�RUJDQL]DWLRQ��DQG�'LYLVLRQ�

6HOHFW�WKH�FKDUDFWHULVWLFV�LQ�WKLV�RUGHU��VLQFH�WKLV�ZLOO�EHFRPH�WKHGHIDXOW�GULOOGRZQ�SDWK�IRU�VWDQGDUG�DQDO\VHV�ZKHQ�WKLV�H[FHSWLRQ�LVXVHG�

�� &KRRVH�>5HTXLUHPHQWV@�� (QWHU�'(0�DV�WKH�DQDO\VLV�FXUUHQF\�DQG�H[FKDQJH�UDWH�W\SH�0


�GHIDXOW�� &OLFN�>&KRRVH�NH\�ILJXUHV@�� 6HOHFW�WKH��,QFRPLQJ�RUGHUV��DQG��,QFRPLQJ�RUGHUV�TW\��NH\�ILJXUHV�

&KRRVH�>(QWHU@�� <RX�QRZ�QHHG�WR�HVWDEOLVK�WKH�WKUHVKROG�YDOXH�IRU�\RXU�LQFRPLQJ

RUGHUV�NH\�ILJXUH��2Q�WKH�5HTXLUHPHQWV�VFUHHQ��VHOHFW�LQFRPLQJ�RUGHUVE\�FOLFNLQJ�LW�RQFH�

�� &KRRVH�>'HILQH�UHTXLUHPHQW@�� 6HOHFW��7KUHVKROG�YDOXH�DQDO\VLV��DQG�>&RQWLQXH@�� 6HOHFW�WKH��OHVV�WKDQ��V\PERO��DQG�W\SH��IRU�\RXU�WKUHVKROG

YDOXH��:H�DUH�QRW�FRPSDULQJ�DJDLQVW�IRUHFDVW��VR�OHDYH�IRUHFDVWSHULRGV�EODQN��&KRRVH�WR�FKHFN�HDFK�SHULRG�VHSDUDWHO\�E\�VHOHFWLQJ�WKH�6HSDUDWH�SHULRGV��ILHOG��>&RQWLQXH@�

�� 7R�FKRRVH�WKH�H[FHSWLRQ�FRORU��VHOHFW�>)ROORZ�XS�SURFHVVLQJ@�� 8VLQJ�WKH�SXOO�GRZQ�DUURZ�IRU�&RORU�LQ�OLVW��)��FKRRVH�FRORU��UHG��>6DYH@�\RXU�H[FHSWLRQ�

2-1-2 Run a standard analysis by sales organization for the last three months usingyour new exception.

6WDQGDUG�DQDO\VHV�→�6DOHV�RUJDQL]DWLRQ/HDYH�DOO�FKDUDFWHULVWLF�VHOHFWLRQ�FULWHULD�EODQN�(QWHU�\RXU�H[FHSWLRQ�LQWR�WKH�ILHOG�([FHSWLRQ�>([HFXWH@�

© SAP AG LO930 5-44


7KH�VHWWLQJV�IRU�WKH�VWDQGDUG�GULOOGRZQ�DQG�WKH�NH\�ILJXUHV�DUH�FRSLHGDFFRUGLQJ�WR�WKH�H[FHSWLRQ��7KH�DQDO\VLV�FXUUHQF\�LV�DOVR�FRSLHG�IURP�WKHH[FHSWLRQ�

2-1-4 Why do all lines appear in red?

$W�WKH�ORZHVW�OHYHO�ZLWKLQ�WKH�GULOOGRZQ�SDWK��WKHUH�DUH�HQWULHV�WKDW�GR�QRWPHHW�WKH�WKUHVKROG��7KHUHIRUH��WKH�WRWDO�OLQHV�DUH�UHG��HYHQ�WKRXJK�VRPH�RIWKH�GHWDLO�PD\�QRW�EH�

2-1-5 Drill down through your characteristics until you see some lines that areNOT red. Why are these lines not red?

7KHVH�OLQHV�DUH�QRW�H[FHSWLRQV�2-1-6 Do you see all data in this analysis, or only the data that meets the threshold

in your exception?

$OO�GDWD�URZV�DUH�GLVSOD\HG�

2-2 Run an exception analysis so you see ONLY those sales organizations and divisionsthat are not meeting their quota.

�� ([LW�IURP�WKH�RULJLQDO�UHSRUW�XVLQJ�WKH�\HOORZ�DUURZ��'R�QRW�VDYH�\RXUDQDO\VLV�

�� 5HWXUQ�WR�WKH�6DOHV�,QIRUPDWLRQ�6\VWHP�PHQX�XVLQJ�WKH�JUHHQ�DUURZ�� 6WDQGDUG�DQDO\VHV�→�([FHSWLRQ�DQDO\VLV�� (QWHU�\RXU�H[FHSWLRQ�� >([HFXWH@��1RWH�\RX�DUH�QRZ�LQ�WKH�VDPH�VWDQGDUG�DQDO\VLV�FKDUDFWHULVWLF

VHOHFWLRQ�VFUHHQ��<RXU�H[FHSWLRQ�LV�DOUHDG\�HQWHUHG�� >([HFXWH@�2-2-1 What is different about these results?

7KH�QXPEHUV�DUH�GLIIHUHQW��7KH\�UHIOHFW�21/<�WKH�GDWD�WKDW�PHHWV�WKHWKUHVKROG�FULWHULD��,Q�RWKHU�ZRUGV��RQO\�WKH�URZV�ZKRVH�LQFRPLQJ�RUGHUVDUH�OHVV�WKDQ��DUH�GLVSOD\HG�

2-2-2 Drill down through your characteristics. Are there any rows that are NOTred?

1R�

© SAP AG LO930 5-45


2-3 Use the Early Warning System and standard analyses to see the sales organizationsand their divisions that have considerably exceeded their bookings quota.







• Use key figures Incoming orders and Incoming orders quantity.


• The threshold value is 1,000,000.




Display the exception rows in green.

Ensure that the exception is active for periodic analyses (for the nextexercise).

Send a mail to your user name (LO930-##) for periodic processing.

5HSHDW�WKH�VWHSV��GHWDLOHG�LQ�WKH�SUHYLRXV�H[HUFLVH��5HSODFH�WKHYDOXHV�DV�GHVFULEHG�DERYH�

�� 7R�FKRRVH�WKH�H[FHSWLRQ�FRORU�DQG�VHQG�DQ�H�PDLO�WR�\RXUVHOI��VHOHFW>)ROORZ�XS�SURFHVVLQJ@�

�� 8VLQJ�WKH�SXOO�GRZQ�DUURZ�IRU��&RORU�LQ�OLVW��)��FKRRVH�FRORU��JUHHQ�

�� 6HOHFW��$FWLYH�IRU�SHULRGLF�DQDO\VLV�� 6HOHFW��6HQG�PDLO�WR��(QWHU�\RXU�XVHU�QDPH��1RWH�WKDW�WKLV�IHDWXUH�LV

XVHG�RQO\�ZLWK�SHULRGLF�SURFHVVLQJ�� >6DYH@�\RXU�H[FHSWLRQ�

© SAP AG LO930 5-46



)URP�WKH�6DOHV�,QIRUPDWLRQ�6\VWHP�PHQX��FKRRVH�(DUO\�:DUQLQJ�6\VWHP�→�3HULRGLF�DQDO\VLV�→�$UHD�WR�DQDO\]H�→�&UHDWH�� (QWHU�\RXU�H[FHSWLRQ��6HOHFW��6\VWHP�GULYHQ�� &KRRVH�>&UHDWH@�� (QWHU�D�QDPH�IRU�\RXU�YDULDQW��(:6�� &KRRVH�>&UHDWH@�� >&RQWLQXH@��5HPHPEHU�\RX�DUH�FUHDWLQJ�D�YDULDQW�IRU�D�EDFNJURXQG

MRE��<RX�DUH�QRW�UXQQLQJ�WKH�DQDO\VLV�RQOLQH��HYHQ�WKRXJK�\RX�DUHSURFHVVLQJ�WKH�VDPH�VFUHHQV��,Q�D�SURGXFWLYH�VLWXDWLRQ��\RX�FRXOG�HQWHUVHOHFWLRQ�FULWHULD�WR�UXQ�WKLV�DQDO\VLV��)RU�WKLV�H[HUFLVH��OHDYH�WKHVHOHFWLRQ�FULWHULD�EODQN�DQG�FKRRVH�>$WWULEXWHV@�

�� (QWHU�D�GHVFULSWLRQ�RI�\RXU�YDULDQW�� >6DYH@��5HWXUQ�WR�WKH�6DOHV�,QIRUPDWLRQ�6\VWHP�PHQX�XVLQJ�WKH�JUHHQ

DUURZ�2-4-2 Schedule your analysis to run immediately.

)URP�WKH�6DOHV�,QIRUPDWLRQ�6\VWHP�PHQX��FKRRVH�(DUO\�:DUQLQJ�6\VWHP�→�3HULRGLF�DQDO\VLV�→�6FKHGXOH<RXU�H[FHSWLRQ�VKRXOG�DSSHDU�� &KRRVH�>6FKHGXOH@�� &KRRVH�>,PPHGLDWH@�� >6DYH@��<RX�ZLOO�VHH�WKH�PHVVDJH��%DFNJURXQG�MRE�IRU�H[FHSWLRQ�(:6�

��VXFFHVVIXOO\�SODQQHG�� 5HWXUQ�WR�WKH�6DOHV�,QIRUPDWLRQ�6\VWHP�PHQX�XVLQJ�WKH�JUHHQ�DUURZ�

© SAP AG LO930 5-47


�� <RX�PD\�DOUHDG\�VHH�WKH�6$3RIILFH�H[SUHVV�LQIR�ZLQGRZ��,I�QRW��SUHVV>(QWHU@�

�� &KRRVH��&KRRVH�2IILFH�→ :RUNSODFH�LQ�WKH�6$3�PHQX�RU�FKRRVH>,QER[@�WKH�6$3RIILFH�H[SUHVV�LQIR�ZLQGRZ�GLUHFWO\�

�� &KRRVH�>,QER[@�� 6HOHFW�>8QYLHZHG�GRFXPHQWV@�� 'RXEOH�FOLFN�\RXU�PHVVDJH��<RX�PD\�KDYH�WR�FOLFN�WKH��'RF��FRQWHQWV�

WDE�2-4-4 What do you see in your e-mail?

2QO\�WKRVH�FKDUDFWHULVWLF�FRPELQDWLRQV�WKDW�PHHW�WKH�UHTXLUHPHQW�LQ�WKHH[FHSWLRQ�

2-4-5 From your e-mail message, how can you view the exception analysis?

&KRRVH��'RFXPHQW�→�([HFXWH�

© SAP AG LO930 5-48


2-5 Use the Early Warning System and standard analyses to see the sales organizationsand their divisions that have not achieved their bookings quota and those that haveconsiderably exceeded their bookings quota.










If there is sufficient time, activate the exception for a periodic analysis.


© SAP AG LO930 5-49

)URP�WKH�6DOHV�,QIRUPDWLRQ�6\VWHP��6,6��PHQX��FKRRVH�(DUO\�:DUQLQJ�6\VWHP�→�*URXSLQJ�→�&UHDWH�� (QWHU�WKH�QDPH�RI�\RXU�H[FHSWLRQ�(:6��DQG�WKH�GHVFULSWLRQ�RI

\RXU�H[FHSWLRQ��XVLQJ�\RXU�JURXS�QDPH��6SHFLI\�LQIR�VWUXFWXUH�6�� &KRRVH�>(QWHU@�� (QWHU�'(0�IRU�WKH�DQDO\VLV�FXUUHQF\�DQG�H[FKDQJH�UDWH�W\SH�0


�GHIDXOW�� 6HOHFW�WKH�OLQN��25�� $OORFDWH�WKH�H[FHSWLRQV�(:6��DQG�(:6�� &KHFN�WKDW�IROORZ�XS�SURFHVVLQJ�LV�GHILQHG�� >6DYH@�\RXU�JURXS�H[FHSWLRQ�

2-5-3 Execute a standard analysis by sales organization using your new groupexception. Repeat the steps described in the previous exercise. Substitute thevalues as explained above.


7KH�RQOLQH�GRFXPHQWDWLRQ�SURYLGHV�WKH�VROXWLRQ�� 2QO\�LQGLYLGXDO�H[FHSWLRQV�FDQ�EH�DVVLJQHG�WR�DQ�H[FHSWLRQ�JURXS��WKDW

LV��QR�RWKHU�H[FHSWLRQ�JURXS�FDQ�EH�DVVLJQHG�WR�DQ�H[FHSWLRQ�JURXS�� $OO�H[FHSWLRQV�LQ�WKH�H[FHSWLRQ�JURXS�PXVW�UHIHU�WR�WKH�VDPH

LQIRUPDWLRQ�VWUXFWXUH��WKDW�LV��\RX�FDQ�RQO\�DVVLJQ�WKRVH�H[FHSWLRQVZKLFK�KDYH�WKH�VDPH�XQGHUO\LQJ�LQIRUPDWLRQ�VWUXFWXUH�

�� $OO�H[FHSWLRQV�PXVW�KDYH�WKH�VDPH�FKDUDFWHULVWLFV�DQG�WKH�VDPHVHTXHQFH�RI�FKDUDFWHULVWLFV�VR�WKDW�WKH�VWDQGDUG�DQDO\VHV�DQG�H[FHSWLRQDQDO\VLV�DUH�GLVSOD\HG�LQ�WKH�VDPH�ZD\��7KH�ILUVW�DVVLJQHG�H[FHSWLRQZLWK�D�FKDUDFWHULVWLF�UHIHUHQFH�GHWHUPLQHV�WKH�FKDUDFWHULVWLFV�DQG�WKHLUVHTXHQFH�IRU�DOO�RI�WKH�H[FHSWLRQV��ZKLFK�FDQ�EH�DVVLJQHG�WR�WKHH[FHSWLRQ�JURXS�

�� <RX�FDQ�RQO\�DVVLJQ�WKRVH�H[FHSWLRQV�ZLWK�NH\�ILJXUHV�IRU�ZKLFK�\RXKDYH�DQ�DXWKRUL]DWLRQ

© SAP AG LO930 6-1

SAP AG 1999

l )OH[LEOH�DQDO\VHV�UHSRUWLQJ�LQ�/,6l /LVW�OD\RXW�LQ�WKH�5HSRUW�:ULWHUl 0DLQWDLQLQJ�VHWV�DQG�VHW�KLHUDUFKLHV�IRU�VHOHFWLRQl /,6�HYDOXDWLRQV�LQ�5HSRUW�:ULWHU

&RQWHQWV�

)OH[LEOH�$QDO\VHV�LQ�/,6

© SAP AG LO930 6-2

SAP AG 1999

l 8VH�IOH[LEOH�DQDO\VHV�DV�DQ�DGGLWLRQDO�RSWLRQ�IRUREWDLQLQJ�LQIRUPDWLRQ�LQ�/,6

l 0DLQWDLQ�DGGLWLRQDO�VHOHFWLRQ�RSWLRQV�LQ�WKHIOH[LEOH�DQDO\VHV��XVLQJ�VHWV�DQG�VHW�KLHUDUFKLHV

l )LQG�DQG�HQKDQFH�/,6�HYDOXDWLRQV�LQ�5HSRUW�:ULWHU


)OH[LEOH�$QDO\VHV�LQ�/,6��8QLW�2EMHFWLYHV

© SAP AG LO930 6-3

SAP AG 1999


)OH[LEOH�DQDO\VLV




•��

• �� • �!��"�#�! ��•�$�� #�� %��&�' ��(�

• �)� ��#�� *�� • ��+��+�#��

,�-./.0102!3 �4��(��

5 �� 76

)OH[LEOH�$QDO\VHV�LQ�/,6��2YHUYLHZ

n In addition to the standard analyses, the flexible analysis technique allows you to display thecontents of the information structures in a different way again. The flexible analyses in LIS allowyou to use part of the functionality available in the Report Writer, a tool for creating reports that islocated in other SAP applications such as G/L Accounting and Cost Center Accounting.

n Please note that only part of the Report Writer functionality is available to you when you use flexibleanalyses. To be able to use the full Report Writer functionality, you have to edit the reports using theReport Writer transactions.

© SAP AG LO930 6-4

SAP AG 1999

l 0DQDJHPHQW�RIWHQ�UHTXLUHV�UHSRUW�OD\RXWV�WDLORUHGWR�VXLW�LQGLYLGXDO�QHHGV��7KLV�LQFOXGHV�FRPSDULVRQRI�ILJXUHV�IRU�GLIIHUHQW�SHULRGV�

)OH[LEOH�$QDO\VHV�LQ�/,6��%XVLQHVV�6FHQDULR

© SAP AG LO930 6-5

SAP AG 1999

8 �� 5 � �0 ��&�� 0 ��

9:�(��;�� 2 �� 9:�(�!�&�#��&��

0DUFK�� $SULO��2UGHU�YDOXH

1R��RI�32LWHPV

66

24

188

42

240

75

26

1610

49

445

240,000

100,000

40,00060,000

114,000

75,00065,000

Total

6PLWK�,QF�Printer 6512Computer H217

0RUJDQ�,QF�Laser printerPC

200,000

90,000

40,00050,000

110,000

60,00050,000

2UGHU�YDOXH1R��RI�32LWHPV

<1� 5 �!�� = ��>��? . < �&��@A�

9B�(�!��;�� 2 �#�!� � �� C ��D1?� ; � �&��E�F�GE�F�G H(H FH�H F

I�J(KI�J�K

3LFN�XSWHFKQLTXH

6HOI�'HILQHG�(YDOXDWLRQV

n The flexible analyses in LIS are used in the same way as a report generator: you use a menu todescribe the content and format of the list you require and, at the touch of a button, the respectiveprogram is generated in the background. The resulting list displays a large number in one view, yetthe flexible analyses offer you a broad spectrum of options for interactively editing the list online.

n In comparison to standard analyses, flexible analyses have the following advantages:

é This technique enables you to combine characteristics and key figures from different informationstructures or DDIC tables in one list.

é You can choose between a variety of layouts.

é You can use your own formulas to calculate new key figures for existing ones.

n You can use the "Evaluation" function to describe the reporting function in LIS. The "Evaluation"concept contains a program object that controls the collection and formatting of data for evaluationpurposes.

n You can choose characteristics and key figures using a pick-up technique. It is also possible to definethe list layout by simply selecting the data you require.

© SAP AG LO930 6-6

SAP AG 1999

L ��

'',&WDEOHV'',&WDEOHV

,QIRVWUXFWXUHV

,QIRVWUXFWXUHV

(YDOXDWLRQVWUXFWXUH

(YDOXDWLRQVWUXFWXUH

(YDOXDWLRQVWUXFWXUH

(YDOXDWLRQ(YDOXDWLRQ

'DWDSUHVHQWDWLRQ

'DWDFROOHFWLRQ

/RJLFDOGDWD�YLHZ

3K\VLFDOGDWD�EDVLV

'DWDEDVH�WDEOHV'DWDEDVH�WDEOHV

/,6�WDEOH�GHVFULSWLRQ/,6�WDEOH�GHVFULSWLRQ

5HSRUWV5HSRUWV

)URP�'DWD�%DVLV�WR�'DWD�3UHVHQWDWLRQ

n In LIS, the evaluation structures control the way in which the evaluations collect data. They describethe possible data sources of your evaluations. These data sources can be information structures ornormal DDIC tables.

n An evaluation structure chiefly consists of a list of characteristics and key figures. An evaluationstructure can also contain characteristics and key figures from different physical database tables.

n The name of an evaluation structure must begin with "ZF" (example: ZFMARA).

n Evaluations are created with reference to evaluation structures. The characteristics and key figures inan evaluation structure can form the rows and columns of your evaluation list.

n When evaluation structures and evaluations are generated, Report Writer objects are created in thebackground. They can also include libraries for evaluation structures and reports for evaluations.

n When you run an evaluation, a list of data is displayed at the data presentation level, which you canchange and interpret using a variety of functions.

© SAP AG LO930 6-7

SAP AG 1999

L ��

6��6��

� H E�M9:�(�!��0AE0%M

C ��D1?� ; � ��CNEC$M

OQP$RQE9B�(�!�&�0SE0�M, ��"@ � � ��L ��D��

C ��D1?� ; � ��C7EC/M

'DWDSUHVHQWDWLRQ

'DWDFROOHFWLRQ

/RJLFDOGDWD�YLHZ

3K\VLFDOGDWD�EDVLV,QIRUPDWLRQ�VWUXFWXUH,QIRUPDWLRQ�VWUXFWXUH

(YDOXDWLRQ�VWUXFWXUH(YDOXDWLRQ�VWUXFWXUH

(YDOXDWLRQ(YDOXDWLRQ

6LPSOH�([DPSOH

n Each information structure in LIS automatically has an evaluation structure with the same name.This evaluation structure contains all the key figures and characteristics of the correspondinginformation structure. This makes it easy for you to create evaluations for both standard informationstructures as well as for self-defined information structures.

n The above illustration shows the process from the physical data basis (in this case an informationstructure) to the data presentation for a simple example. In this example, the data does not originatefrom different data sources, and the evaluation structure was generated by creating the informationstructure.

© SAP AG LO930 6-8

SAP AG 1999

(YDOXDWLRQV��2SWLRQV

0 ��&�� !�8 �� 5 � �0 ��

9B��!��;�� 2 �� 9:�(��4�!�> C ��DT?� ; � �+�� U#D'V(� , ��"@ � � �<�� 5 �!��W � �� 4DX:�!� 5 �Y��ZV��'W#�[DX%\]W#�[D_^�<)� 5 ��W!�ZD

9:��'�#�(�1��(�!�4�2 ��!�`>a�� (�"� � ��

9:��!�#�#�Ab*��DT? ; � ��2 ��!�`>a�� &�� +�

9:��(�&�C ��DA? ; � �+��b��DA?" ; � �+�� c�dfe�gheaikj[l mNg`n�o�g�p�jrq sut1p*jrq s/t1v�mQgZn�l pajhq

w efjZo*g&x e�yz o�{|n�}�gw }�{fj&d L ��D�� '�(��~��

U#D�V(�T�(�� #�� 1?��@Y��"�Normal displayColumn comparison char. per key fig.Column comparison key fig. for char.Characteristic for selection only

Column repetitionsM

c�dfe�gheaikj[l��w efj[o*g&x e�yz o�{fn�}(gw }�{�j�d

c�dfe�gheaikj[l��w efj[o*g&x e�yz o�{fn�}(g

�� l �|� �|� l �f�c d|e�gheai�j4l��#��w e|jò�g&x e�yz o�{|n�}�g

�!� ��c d|e�gheai�j4l �f�� f�k� �|� �|�� f�k� �|�w efjò�g&x e�yz o�{an�}�g

n In addition to making your own characteristic and key figure selection, there are further options forcreating your own evaluation.

n The evaluation type enables you to change the position of characteristics in a list. For example, youcan define column comparisons of characteristics for each key figure, or of key figures for eachcharacteristic, or a characteristic only for selection purposes. You can define an evaluation type forseveral characteristics. Column comparisons, however, are only possible for one characteristic.

n The layout of the subsequent lists can be displayed schematically for control purposes.

n Formulas allow you to calculate the values for your own additional key figures from the values ofexisting key figures. After the formula has been created, you can change the position of the values inthe list using the key figures function.

n You can define various layout parameters such as line texts, line totals, numeric and date formatswhen you create an evaluation. However, you can also change them in the generated list.

© SAP AG LO930 6-9

SAP AG 1999

([HFXWLQJ�DQ�$QDO\VLV��)XQFWLRQDOLW\

2 ��!� � �� '��\Q��

9B�+��&� 5�� D > �u@� ��9B��4�!� �� 70 ��"�� 0 ^ H E

H�� > E*J�J�KH F > E*J�J�KH�� > E*J�J�K

��0 ^ H M

<1� 5 �!�!�� E > E H(H > H�H�HF H(H > H�H�HE H(H > H�H�HE*K H > H�H�HM�M H > H�H�H��H(H > H�H�H

X%�+��V!�! ��1�1 �"��(�� 1��!�! W � �

�/��&�� DY�(�� @��

� j4}�groujò��|j`�� x j&y oB�|ea�ao� � ofean*o�g� }*}�jZo�g� ¡ ek�|j#�ae��o� c�}�¢B¢£o�{kjZ�

¡ ekq�}(¤fj#�ae�gèa¢7okjZo�g �� ¡ x {aoujZok�ajh�� ¡ x {aouj[}ajZe�y �� ¥ ¤|¢Bo*g�x iue�{anBn�ekjZo¦ }�gZ¢Bekj`�� c�}�y ¤*¢�{u§Nx n*j&d� l l l l

6$��?"`�(��~�!�&�� 5 �#�� 5 ��&�%?`� �+�!�4�

�$��V��!�#�#�&�r�

� 3 ��+�(��4�

2�3 V��&�0 ��r��r�SU �!�+��#�� 5S8 �� 9£� � 5 �� 9£� � 5 �� U��!��!�� 5 ��Z>\$�(?">�� @�� <1� 5 ��!��

¨M H�H > H�H�HE

9 � ��#��DT��+��!� ��

L �!�(�� 5 ��h�r� 5 ��1� � D��h� ��V(��h�#;A�� 5� 3 V(�!� 5 h�#;

<B?4?� ��_r��;��r��

n The lists generated when you execute an evaluation are Report Writer reports. A number of specialfunctions are available when displaying these reports, as shown in the above slide.

© SAP AG LO930 6-10

SAP AG 1999

%DVLF�6HWV

6LQJOH�6HWV6LQJOH�6HWV

3ODQWV3ODQWV

3ODQWV3ODQWV$PHULFD$PHULFD

3ODQWV3ODQWV(XURSH(XURSH

3ODQWV*%

3ODQWV86$

3ODQW+DPEXUJ

3ODQW%HUOLQ

3ODQW'UHVGHQ

3ODQW/RQGRQ

3ODQW1HZ�<RUN

3ODQWV)5*

6(7�+LHUDUFKLHV

n You can store selection options for each characteristic in the selection screen of your evaluation.Alternatively, you can make selections for each key figure using ’sets’.

n Sets are defined as an organized quantity of similar elements and can therefore be used to organize ahierarchy for a characteristic.

n Basic sets contain single values or value intervals for individual selection characteristics. They aredefined with reference to specific fields and can also be used across evaluations. You can use setvariables to refine the basic entries for basic sets even further.

n You can use single sets to combine basic sets and create set hierarchies.

© SAP AG LO930 6-11

SAP AG 1999

6(7�+LHUDUFKLHV�LQ�)OH[LEOH�$QDO\VHV

9:�(��#��&�� 7. � ��4�� . � ��(�4� � @Y�!�r�� . � ��4�_©$� �= �� P ��b�� . � ��(�4� 2 � �+��V(�� . � ��4� , \$X

��@ � � �+;ª ��rZ�6£�� 5 ��

� . � ��4�SX ª

<1� 5 �!�� E�« H�H�H « H�H�H © �¬6E�« H�H�H « H�H�H © �¬6E�« H�H�H « H�H�H © �¬6��I(«`F H�H « H�H�H 6 2Q0E�«`M H�H « H�H�H 6 2Q0E�«Ì H�H « H�H�H 6 2Q0E�« H�H�H « H�H�H 6 2Q0M(« H�H�H « H�H�H X ª7.

(YDOXDWLRQ��6HOHFW

CharacteristicsPlants to

or Set.QL � = U!�

,I�\RX�VSHFLI\�D�VHW�RQO\�FKDUDFWHULVWLF�YDOXHV

IURP�WKLV�VHW�ZLOO�EHOLVWHG��7KH�GULOOGRZQ�LV�GHILQHG

�YLD�WKH�6(7�KLHUDUFK\�

n When you specify a set on the selection screen of a flexible analysis, only characteristics valuescontained in this set or lower-level sets are selected. If a set is defined for a characteristic in theselection screen, it is no longer possible to limit the selection to individual values or a range ofvalues for this characteristic.

n The levels of a set hierarchy can be found as summation levels in the results list.

© SAP AG LO930 6-12

SAP AG 1999

#®¯�°±�®²®�³¯®�°±�° ®~´'DWDSUHVHQWDWLRQ

'DWDFROOHFWLRQ

/RJLFDOGDWD�YLHZ

3K\VLFDOGDWD�EDVLV

676 - 9µ�&� � � �T��676 - 9]�&� � � �1��h��?&�Y�(�"� � �� `��?��Y��

2 ��2 �#�!� >�� >a�� &��A ��¶676 - 9·��(?+>�S ��_6£6 - 9¸�+��?>

2 �#�� 2 ��!� � ��

O$P$R0TE·¹'CNEO$P$R

0TE·¹'CNE

º#»�¼ �½�¾�¿fÀrÁ±$®ÂfÃ ÀZÄuÅ|Æ ¿�ÁÇ ¿�È Ã Å�É

(Ê È�ËZÌ Í*Å|À Ê Á#®(°

��ÎuÏ c½�¾f¿�ÀhÁ±�®±�°(Ê È ËZÌ Í�Å|À Ê Á(°

¼ º�»#¼½�¾�¿fÀ Á±�® �Ê È ËZÌ Í*Å|À Ê Á(®

� � ª 90SEÐ0�M�¹�C�M� � ª 90SEÐ0�M�¹�C�M

¼ �¥'Ñ(Ò½�¾�¿fÀrÁ±$® (Ê È�ËZÌ Í*Å|À Ê Á#®Y�°(Ó_�Ô

2 �� T�� &��S ��2 �#�!� � �� T�(�"� � �� )�A ��#�!�� >*�� ¶�&��?+��#��>*�� A��?��

&RPSOH[�([DPSOH

n If you want to create more complex evaluations, which display characteristics and key figures fromdifferent database tables, then the procedure involves a number of steps.

n In the first step, you need to create an evaluation structure with reference to the Data Dictionary foreach database table that you want to analyze. These evaluation structures already exist for LISinformation structures. You can only create evaluation structures for those DDIC tables containingcharacteristics and key figures with LIS relevance.

n In the second step you need to create an evaluation structure with reference to an existing evaluation.This means that you can group together characteristics and key figures from individual evaluationstructures to make one new evaluation structure. This is only recommended in certain situations. It isdefinitely advisable, however, in cases when all the characteristics required for the evaluationstructure are contained as keys in all the database tables to be read. A constellation like the oneillustrated above, however, is also possible. The keys in the database tables to be evaluated areconstructed successively from the combination of characteristics in the evaluation structure.

n This procedure allows you to use the evaluation structures to define your own logical views of theSAP data basis.

© SAP AG LO930 6-13

SAP AG 1999

l 8VH�IOH[LEOH�DQDO\VHV�DV�DQ�DGGLWLRQDO�RSWLRQ�IRUREWDLQLQJ�LQIRUPDWLRQ�LQ�/,6

l 0DLQWDLQ�DGGLWLRQDO�VHOHFWLRQ�RSWLRQV�LQ�WKHIOH[LEOH�DQDO\VHV��XVLQJ�VHWV�DQG�VHW�KLHUDUFKLHV

l )LQG�DQG�HQKDQFH�/,6�HYDOXDWLRQV�LQ�5HSRUW�:ULWHU


)OH[LEOH�$QDO\VHV�LQ�/,6��6XPPDU\

© SAP AG LO930 6-14

([HUFLVHV

8QLW��)OH[LEOH�$QDO\VHV�LQ�/,67RSLF��)OH[LEOH�$QDO\VLV�5HSRUWLQJ�LQ�/,6

• Use flexible analyses as an additional means of acquiring informationin LIS

Management often requires report layouts tailored to suit individual needs,including a comparison of key figures for different periods.

These requirements also include calculating new key figures by applyingmathematical formulas to existing key figures.


Before you are able to use certain formatting functions (Report Writer)you have to make the following setting:

6HWWLQJV��!�2SWLRQV��!�&KRRVH�([SHUW�0RGH

© SAP AG LO930 6-15

1-1 Management requires the following report layout:

OrderQuantity

Order value Average

**** Purchasing organization 4321415*** IDES Germany 4321415** KBB Black Pump 2070 200790 97* Slug for fly wheel 688 66736 97

05.1997 87 8439 9706.1997 40 3880 9707.1997 44 4268 9708.1997 76 7372 9709.1997 40 3880 9710.1997 60 5820 9711.1997 57 5529 9712.1997 63 6111 9701.1998 40 3880 9704.1998 141 13677 9705.1998 40 3880 97

* Support base 1382 134054 9705.1997 148 14356 9706.1997 142 13774 9707.1997 84 8148 9708.199709.199710.199711.199712.199701.199804.199805.1998

** SMP GmbH* Deluxe Gas Tank

05.1997

The lowest level of detail for this report isMonth.

* Asterisks indicate the summation level.The summation levels are as follows:**** Total Purchasing Organization*** Purchasing Organization** Vendor* Material

© SAP AG LO930 6-16

1-1-1 Using the report, list the characteristics and key figures for this evaluation.

&KDUDFWHULVWLFV .H\�ILJXUHV

1-1-2 Using the standard analysis, determine which SAP defined informationstructure provides this information.

Note: For the next exercises we will use the evaluation structure with thesame name, which was generated automatically when the informationstructure was created.

1-1-3 Is the key figure "Average" in the evaluation structure?

1-1-4 Using the evaluation structure 6��, create the evaluation (9��(YDOXDWLRQ��IRU�JURXS��• Select the characteristics you listed above. Ensure that they are in the

order specified by the summation levels.• Select the key figures you listed above. Note that you can select only

two of the three key figures in the report from the evaluation structure.• Create a new key figure called "Average". The formula should be

calculated as follows:2UGHU�YDOXH��2UGHU�TXDQWLW\

• Save your evaluation. The report will be generated when executing thereport for the first time.

• Do not include the evaluation in a transport request.

1-1-5 Execute your evaluation. You must regenerate the report group. Accept thedefault set names. There is a future exercise using sets.

© SAP AG LO930 6-17

1-2 Experiment with the layout of your report.

1-2-1 Scroll throughout your report using the page up and page down buttons. Onwhat page does the data start?

1-2-2 Display the key and description of the characteristics on each row. Alsochange the column width to 45 to accommodate both fields.

1-2-3 Change the summation levels to show totals for total organizations,purchasing organization, and vendor. Change the summation levels back.

The level number corresponds to the number of asterisks in thesummation level row. Level 4 is the number for this report.

1-2-4 Display only those lines whose order values are over 10000.

1-2-5 Display all rows again. Highlight those rows whose incoming orders areover 10000 by displaying them in red. Afterwards, deactivate the thresholdvalue condition.

1-2-6 Sort the report in ascending order, by "Order value".

1-2-7 Enter text on the title page. Include the date and time the report was output.Make sure you save the text. Display your new text.

1-2-8 Exit from the report. Do not save the settings. Do not save the report as anextract.

© SAP AG LO930 6-18

1-3 Management has another report with the same information as above. This report is acomparison between the current period and the prior period, for the above information.This report layout is as follows:

Order quantity Order value Average

Current Previous Current Previous Current Previous

*** Purchasing organization 4321415 4321415** IDES Germany 4321415 4321415* KBB Black Pump 2070 2070 200790 200790 194 194Slug for fly wheel 688 688 66736 66736 97 97Support base 1382 1382 134054 134054 97 97

1-3-1 Using the same evaluation structure as above, S012, create a new evaluationthat will perform this period comparison. Create a new evaluation: (:��HYDOXDWLRQ��IRU�JURXS��. Use the evaluation already created above as amodel.

• Change the characteristic type of "Month" to "type 1" - Comparison ofcharacteristic per key figure. Choose 2 columns. Use "Layout control" toget an idea of what the report will look like. Save your evaluation. Donot include it in a transport request.

1-3-2 Execute your evaluation for the current month and the prior month. Youmust select to regenerate the report group.

1-3-3 What is different about the selection screen for this report?

1-3-4 What is different about the display of this report?

*1-4 Mail a copy of this report to yourself.

1-4-1 Send the report to yourself from within the report via express office mail.

1-4-2 Read the e-mail you just received. In order to receive the "express mail,"press [Enter]. You may need to press [Enter] a second time.

© SAP AG LO930 6-19

8QLW��)OH[LEOH�$QDO\VHV�LQ�/,67RSLF��0DLQWDLQLQJ�6HWV�DQG�6HW�+LHUDUFKLHV�IRU�6HOHFWLRQ

• Maintain additional selection options in the flexible analyses, using setsand set hierarchies

The result and layout of the flexible analyses is a top priority formanagement. They would like to see some hierarchical reports based onthe reporting nodes you set up for standard analysis. Unfortunately, thesehierarchies are not available in flexible analysis, so you must set upanother reporting structure using sets to reflect the same reportinghierarchy.

1-5 Once again, you want to perform an analysis based on vendors by region, this timeusing flexible analysis. You want to replace the vendors in your report with thevendor regions as defined below. Your reporting structure:

Europe


North South

1000 1001 1004

1012 1002 1008

1014 1003

1015 1005

1006

1010

1011

1020

© SAP AG LO930 6-20

1-5-1 Since there is no distinct range of vendors, you first need to create a basicset of all vendors in Southern Germany�that corresponds to the abovereporting structure.

• Create a basic set 6*HUPDQ\�� that only includes the vendors inSouthern Germany. Table S012.

• Create the set using vendors, field name /,)15.

• Enter 6RXWK�*HUPDQ\��as a description.

1R�DGGLWLRQDO�GDWD�LV�QHHGHG�LQ�WKH�KHDGHU�• Enter the vendors, using the following entries. Do NOT enter the short

text of the line, since this will override the vendor’s text. Do not selectthe suppress indicator. Save the set.

No. Fromvalue

To value Short text of set line SI

001 1001

002 1002

003 1003

004 1005

005 1006

006 1010

007 1011

008 1020

1-5-2 Create a basic set comprising of the vendors in Northern Germany. Namethe set 1*HUPDQ\��• Enter 1RUWKHUQ�*HUPDQ\��as a description.

• Enter the vendors, using the following entries. Do NOT enter the shorttext of the line, since this will override the vendor’s text. Save the set.

No. Fromvalue


001 1000

002 1012

003 1014

004 1015

© SAP AG LO930 6-21

1-5-3 Create a basic set comprising of the vendors in Great Britain. Name the set*%��• Enter *UHDW�%ULWDLQ��as a description.

• Enter the vendors, using the following entries. Do NOT enter the shorttext of the line, since this will override the vendor’ s text. Save the set.

No. Fromvalue


001 1004

002 1008

1-6 To include the created sets in the predefined hierarchical structure, you need tocreate a further two single sets.

1-6-1 Create a single set containing the vendors from Northern and SouthernGermany. Name the set *HUPDQ\��• (QWHU�*HUPDQ\��DV�D�GHVFULSWLRQ�• Enter the following data:

• &KRRVH�*RWR�→ 6XERUGLQDWH�VHWV�WR�FDOO�XS�WKH�DSSURSULDWHPDLQWHQDQFH�VFUHHQ�No. Set ID Set short text SI

001 NGermany-## Northern Germany-##

002 SGermany-## Southern Germany-##

1-6-2 Create a single set containing the vendors from Germany and Great Britain.Name the set (XURSH��• (QWHU�(XURSH��DV�D�GHVFULSWLRQ�• Enter the following data:

• &KRRVH�*RWR�→ 6XERUGLQDWH�VHWV�WR�FDOO�XS�WKH�DSSURSULDWHPDLQWHQDQFH�VFUHHQ�No. Set ID Set short text SI

001 Germany-## Germany-##

002 GB-## Great Britain-##

1-6-3 Execute your flexible analysis EV-## using your new single set (XURSH��.

1-6-4 What difference(s) do you notice in this report?

© SAP AG LO930 6-22

8QLW��)OH[LEOH�$QDO\VHV�LQ�/,67RSLF��/,6�(YDOXDWLRQV�LQ�5HSRUW�:ULWHU

• Find and enhance LIS evaluations in Report Writer

• Change column widths to varying lengths.

Your company is also using the SAP Report Writer in LIS. Your task is toidentify the relationship between Report Writer and LIS and whether youcan make use of all Report Writer functionality.

1-7 Identify the links between LIS and Report Writer.

1-7-1 Execute the evaluation EW##, the comparison analysis created previously.Specify the current month and year, and prior month and current year.

1-7-2 Complete the following information for your analysis:

Table

Library

Report

Report group

© SAP AG LO930 6-23

1-7-3 What column widths have been defined for the available format groups?

Column width

Format group 1

Format group 2

Format group 3

Format group 4

Format group 5

The column width figure refers to format group, not the columnnumber.

1-7-4 Can variable column widths be assigned in flexible analysis?

1-7-5 Identify the current format groups assigned in your report.

© SAP AG LO930 6-24

1-7-6 Change the format group definition of the report in Report Writer. Followthese steps:

1. Access Report Writer by changing the definition of your report�([WUDV�→ &KDQJH�GHILQLWLRQ�

2. To edit the column block, choose *RWR�→�&ROXPQV.3. To change the set, select the column block and then choose (GLW�→

&KDQJH�VHW�4. Select the Set ID for the key figures by double-clicking to display the

key figures.

5. Assign the following format group to the key figures: (Field FGr)

Order value Format group 2

Order quantity Format group 3

Average Format group 4

6. Save your entries. Use the green arrow to return to &KDQJH�5HSRUW�&ROXPQV�screen. If message "Do you want to create them?" appears,press Enter.

7. Execute the report (5HSRUW�→�([HFXWH�� The report has to be executedsince the report definition has changed. This can be executed directlyfrom Report Writer, or alternatively from the flexible analysis.

8. Press [Yes] when asked "Regenerate report group?"

1-7-7 Check that the format groups have been assigned.

1-7-8 Change the format groups 2, 3, and 4 to the following column widths:

Column width

Format group 2 20

Format group 3 8

Format group 4 12

© SAP AG LO930 6-25

*1-8 Using Report Writer, display the following information:

Do not &+$1*( any settings, unless instructed in the exercise.These settings are used in other reports within the system.

1-8-1 Display your report in Report Writer.

1-8-2 Display the URZV of the report and display the set of the row block.

1-8-3 Display the FROXPQV�of the report and display the set of the column block.

1-8-4 Display the text of your report.

1-8-5 Display the header of the report.

The extensive functionality of Report Writer is covered in &$��$GYDQFHG�)XQFWLRQV�RI�WKH�5HSRUW�:ULWHU��a 3 day course.

© SAP AG LO930 6-26


• Use flexible analyses as an additional means of acquiring informationin LIS

Management often requires report layouts tailored to suit individual needs,including a comparison of key figures for different periods.

These requirements also include calculating new key figures by applyingmathematical formulas to existing key figures.





© SAP AG LO930 6-27


IncomingOrders

IncomingOrder

Quantity

AverageSalesPrice

******Total Organization 540000 100 5400***** Sales Organization Germany 540000 100 5400**** Direct Sales 420000 80 5250*** Pumps 105000 35 3000** Northern Germany 105000 35 3000* Becker Berlin 65000 25 2600 Pump cast steel 25000 5 5000 Pump standard 49000 20 2450 PVC – custom 1000 20 50* Minerva Energy 31000 10 3100 Pump cast steel 11000 5 2200 Pump chrome 20000 5 4000*** Motorcycles 315000 45 7000** Northern Germany 40000 40 525* Becker Berlin 40000 40 525 HD Brake system 30000 20 150 HD Helmet 10000 20 500** Southern Germany* Crystal Clear SAPSOTA Fun Driver**** Service*** Pumps** Northern Germany* Becker Berlin 1 Year Service Spare Parts Contract*** Motorcycles** Southern Germany* Crystal Clear 1 Year Service

The lowest level of detail for this report isMaterial.

* Asterisks indicate the summation level.The summation levels are as follows:***** Sales Organization**** Distribution Channel*** Division** Sales District* Sold-to Party

© SAP AG LO930 6-28


&KDUDFWHULVWLFV .H\�ILJXUHV


Note: For the next exercises we will use the evaluation structure with thesame name, which was generated automatically when the informationstructure was created.

2-1-3 Is the key figure Average Selling Price in the evaluation structure?

2-1-4 Using the evaluation structure 6��, create the evaluation (9��(YDOXDWLRQ��IRU�JURXS��• Select the characteristics you listed above. Ensure that they are in the

order specified by the summation levels.• Select the key figures you listed above. Note that you can select only

two of the three key figures in the report from the evaluation structure.• Create a new key figure called ASP. The formula should be calculated

as follows:,QFRPLQJ�2UGHUV��,QFRPLQJ�2UGHUV�4XDQWLW\

• Save your evaluation. The report will be generated when executing thereport for the first time.

• Do not include the evaluation in a transport request.

2-1-5 Execute your evaluation. You must regenerate the report group. Accept thedefault set names. There is an exercise using sets later on.

© SAP AG LO930 6-29



2-2-2 Display the key and description of the characteristics on each row. Alsochange the column width to 45 to accommodate both fields.

2-2-3 Change the summation levels to show totals for sales organization,distribution channel, and division. Change the summation levels back.


2-2-4 Display only those lines whose incoming orders are over 5000.


2-2-6 Sort the report in ascending order, by incoming orders.



© SAP AG LO930 6-30

2-3 Management has another report with the same information as above. This report is acomparison between last period and the prior period, for the above information.This report layout is as follows:

Incoming orders Incoming OrderQuantity

Average Sales Price

Current Previous Current Previous Current Previous******Total Organization 540000 540000 100 100 5400 5400***** Sales OrganizationGermany

540000 540000 100 100 5400 5400

**** Direct Sales 420000 420000 80 80 5250 5250*** Pumps 105000 105000 35 35 3000 3000** Northern Germany 105000 105000 35 35 3000 3000* Becker Berlin 65000 65000 25 25 2600 2600 Pump cast steel 25000 25000 5 5 5000 5000 Pump standard 49000 49000 20 20 2450 2450 PVC – custom 1000 1000 20 20 50 50* Minerva Energy 31000 31000 10 10 3100 3100 Pump cast steel 11000 11000 5 5 2200 2200 Pump chrome 20000 20000 5 5 4000 4000*** Motorcycles 315000 315000 45 45 7000 7000** Northern Germany 40000 40000 40 40 525 525* Becker Berlin 40000 40000 40 40 525 525 HD Brake system 30000 30000 20 20 150 150 HD Helmet 10000 10000 20 20 500 500** Southern Germany 275000 275000 5 5 55000 55000* Crystal Clear 275000 275000 5 5 55000 55000 SAPSOTA Fun 275000 275000 5 5 55000 55000**** Service 120000 120000 20 20 6000 6000*** Pumps 20000 20000 10 10 2000 2000** Northern Germany 20000 20000 10 10 2000 2000* Becker Berlin 20000 20000 10 10 2000 2000 1 Year Service 10000 10000 5 5 2000 2000 Spare Parts 10000 10000 5 5 2000 2000*** Motorcycles 100000 100000 10 10 10000 10000** Northern Germany 100000 100000 10 10 10000 10000* Crystal Clear 100000 100000 10 10 10000 10000 1 Year Service 100000 100000 10 10 10000 10000

The lowest level of detail for this report is Material. The summation level structuresare the same as the previous report.

© SAP AG LO930 6-31

2-3-1 Using the same evaluation structure as above, S003, create a new evaluationthat will perform this period comparison. You must add the characteristicMonth to facilitate this.

• Create a new evaluation: (:��HYDOXDWLRQ��IRU�JURXS��. Use theevaluation already created above as a model.

• Add Month to your list of characteristics. You can attach it to the end ofthe list.








© SAP AG LO930 6-32


• Maintain additional selection options in the flexible analyses, using setsand set hierarchies

The result and layout of the flexible analyses is a top priority formanagement. They would like to see some hierarchical reports based onthe reporting nodes you set up for standard analysis. Unfortunately, thesehierarchies are not available in flexible analysis, so you must set upanother reporting structure using sets to reflect the same reportinghierarchy.

2-5 You again want to perform an analysis based on groups of sales districts, this timeusing flexible analysis. You want to replace the individual sales district lines inyour report with the groups as defined below. In order to do this, you must first setup sets of sales districts. Your reporting structure:

Germany USA

NorthGermanyDE0010

SouthGermanyDE0015

WesternUSA Region

US0020



NorthernUSA Region

US0010

Mid-WestUSA Region

US0015

NorthernFrance

FR0010

France

EasternUSA Region

US0025

EasternFrance

FR0025

WesternFrance

FR0020

SouthernFrance

FR0015

Mexico

Region 3MX0020

Region 1MX0010

Region 2MX0015

Region 4MX0025

© SAP AG LO930 6-33

2-5-1 Create a basic set corresponding to the above reporting structure.

• Create a basic set 'LVWULFW�� for table S003, which comprises theranges above.

• Create the set using a sales district, field name BZIRK.

• Enter 'LVWULFWV�IRU�JURXS�� as a description.

• Enter the four areas for the values listed above. Enter the following data:Select the suppress indicator so only the set totals are displayed. Savethe set.

No. Fromvalue


001 DE0000 DE9999 Germany X

002 FR0000 FR9999 France X

003 US0000 US9999 USA X

004 MX0000 MX9999 Mexico X

2-5-2 Execute your flexible analysis for your original report using yourSet ID 'LVWULFW��

2-5-3 What do you notice about your new report?

© SAP AG LO930 6-34

*2-6 You now want the report to show the complete hierarchy of your sales districts. Inother words, you want to see the subtotals for each group of sales districts AND thetotal for each district.

2-6-1 Create a basic set for each group of districts. Name the sets *HUPDQ\��)UDQFH�� 86$�� and 0H[LFR��. Do NOT select the suppress indicator.This will allow you to see the details of each sales district.

2-6-2 Create a single set $OO�'LVWULFWV��, containing the four basic sets youcreated above.

Your value lines should be as follows:

No. Set ID Short text SI

001 Germany-## Germany

002 France-## France

003 USA-## USA

004 Mexico-## Mexico

Do NOT select the suppress indicators in this set.

2-6-3 Execute the flexible analysis using your new single set $OO�'LVWULFWV��.


© SAP AG LO930 6-35


• Find and enhance LIS evaluations in Report Writer

• Change column widths to varying lengths.

Your company is also using SAP’ s reporting tool, Report Writer. Yourtask is to identify how the Report Writer is used in LIS and whether youcan make use of all Report Writer functionality.


2-7-1 Execute the evaluation EW##, the comparison analysis created previously.Specify last month and year, and prior month and year.

2-7-2 Complete the following information:

Table

Library

Report

Report group

© SAP AG LO930 6-36


Column width

Format group 1

Format group 2

Format group 3

Format group 4

Format group 5




© SAP AG LO930 6-37

2-7-6 Change the format group definition of the report in Report Writer. Followthese steps.

1. Access Report Writer by changing the definition of your report�([WUDV�→ &KDQJH�GHILQLWLRQ�



key figures.

5. Assign the following format groups to the key figures: (Field FGr).

Incoming orders Format group 2


ASP Format group 4






Column width

Print class 2 20

Print class 3 8

Print class 4 12

© SAP AG LO930 6-38

2-8* Using Report Writer, display the following information:





2-8-4 Display the texts of the report.



© SAP AG LO930 6-39

6ROXWLRQV





© SAP AG LO930 6-40


OrderQuantity

Order value Average

**** Purchasing organization 4321415*** IDES Germany 4321415** KBB Black Pump 2070 200790 97* Slug for fly wheel 688 66736 97

05.1997 87 8439 9706.1997 40 3880 9707.1997 44 4268 9708.1997 76 7372 9709.1997 40 3880 9710.1997 60 5820 9711.1997 57 5529 9712.1997 63 6111 9701.1998 40 3880 9704.1998 141 13677 9705.1998 40 3880 97

* Support base 1382 134054 9705.1997 148 14356 9706.1997 142 13774 9707.1997 84 8148 9708.199709.199710.199711.199712.199701.199804.199805.1998

** SMP GmbH* Deluxe Gas Tank

05.1997

The lowest level of detail for this report isMonth.

* Asterisks indicate the summation level. Thesummation levels are as follows:**** Total Purchasing Organization*** Purchasing Organization** Vendor* Material

© SAP AG LO930 6-41


&KDUDFWHULVWLFV .H\�ILJXUHV3XUFKDVLQJ�RUJDQL]DWLRQ 2UGHU�TXDQWLW\9HQGRU 2UGHU�YDOXH0DWHULDO $YHUDJH0RQWK


<RX�FDQ�FDOO�XS�WKLV�LQIRUPDWLRQ�XVLQJ�6��3XUFKDVLQJ�Note: For the next exercises we will use the evaluation structure with thesame name, which was generated automatically when the informationstructure was created.

1-1-3 Is the key figure "Average" in the evaluation structure?

)URP�WKH�3XUFKDVLQJ�,QIRUPDWLRQ�6\VWHP��385&+,6��PHQX��FKRRVH�)OH[LEOH�DQDO\VHV�→�(YDOXDWLRQ�→�&UHDWH(YDOXDWLRQ�VWUXFWXUH��6��>(QWHU@1R��7KLV�PXVW�EH�FDOFXODWHG�XVLQJ�D�IRUPXOD�

1-1-4 Using the evaluation structure 6��, create the evaluation (9��(YDOXDWLRQ��IRU�JURXS��)URP�WKH�3XUFKDVLQJ�,QIRUPDWLRQ�6\VWHP��385&+,6��PHQX��FKRRVH�)OH[LEOH�DQDO\VHV�→�(YDOXDWLRQ�→�&UHDWH(YDOXDWLRQ�VWUXFWXUH��6��(YDOXDWLRQ��(9��'HVFULSWLRQ��(YDOXDWLRQ��IRU�JURXS��>(QWHU@

© SAP AG LO930 6-42

'R�QRW�FRS\�IURP�DQ�H[LVWLQJ�HYDOXDWLRQ�• Select the characteristics you listed above. Ensure that they are in the

order specified by the summation levels.

�� >&KDUDFWHULVWLFV@�� 6HOHFW�WKH�IROORZLQJ�FKDUDFWHULVWLFV�IURP�WKH�OLVW�

3XUFKDVLQJ�RUJDQL]DWLRQ9HQGRU0DWHULDO0RQWK1RWH�WKDW�DV�\RX�VHOHFW�WKH�FKDUDFWHULVWLFV��WKH\�DUH�LQ�DOSKDEHWLFDORUGHU��QRW�LQ�WKH�RUGHU�\RX�ZDQW�WR�VHH�WKHP�RQ�WKH�UHSRUW�

�� >&RS\��FORVH@�� ,I�QHFHVVDU\��PRYH��3XUFKDVLQJ�RUJDQL]DWLRQ��WR�WKH�WRS�RI�WKH�OLVW

E\�GRXEOH�FOLFNLQJ�WKH�KHDGLQJ��&KDUDFWHULVWLFV��RU�GRXEOH�FOLFN�LWLI�LW�LV�DOUHDG\�DW�WKH�WRS�RI�WKH�OLVW��,Q�WKH�ZLQGRZ�WKDW�DSSHDUV�GRXEOH�FOLFN��3XUFKDVLQJ�RUJDQL]DWLRQ��ZKLFK�ZLOO�WKHQ�WXUQEOXH��7KHQ�VHOHFW��0DWHULDO��DQG�FOLFN�>0RYH@�DW�WKH�ERWWRP�RI�WKHZLQGRZ��7KLV�ZLOO�SODFH��3XUFKDVLQJ�RUJDQL]DWLRQ��$%29(�0DWHULDO��

�� 0RYH��9HQGRU��DERYH��0DWHULDO��LQ�WKH�VDPH�ZD\��'RXEOH�FOLFN�9HQGRU��&OLFN��0DWHULDO��RQFH��&OLFN�>0RYH@�

�� >&RS\@• Select the key figures you listed above. Note that you can select only

two of the three key figures in the report from the evaluation structure.

�� >.H\�ILJXUHV@�� 6HOHFW�WKH�IROORZLQJ�NH\�ILJXUHV�IURP�WKH�OLVW�

2UGHU�TXDQWLW\2UGHU�YDOXH

�� >&RS\��FORVH@�� >&RS\@

© SAP AG LO930 6-43

• Create a new key figure called "Average". The formula should becalculated as follows:2UGHU�YDOXH��2UGHU�TXDQWLW\�� &OLFN��2UGHU�TXDQWLW\��RQFH�� &KRRVH�>,QVHUW�IRUPXOD@�RU�(GLW�→�,QVHUW�)RUPXOD�� (QWHU�WKH�QDPH�RI�\RXU�NH\�ILJXUH��$YHUDJH�� (QWHU�\RXU�IRUPXOD��7DE�WR�WKH�ILUVW�EODQN�OLQH��'RXEOH�FOLFN

�2UGHU�YDOXH��(QWHU�µ�¶�WR�GLYLGH��'RXEOH�FOLFN��2UGHU�TXDQWLW\��<RXU�IRUPXOD�VKRXOG�EH�6��1(7:5�6��0(1*(

�� >&RS\@�� <RX�PXVW�QRZ�FKDQJH�WKH�RUGHU�RI�\RXU�NH\�ILJXUHV�VR��$YHUDJH�

DSSHDUV�LQ�WKH�ODVW�FROXPQ�RI�\RXU�UHSRUW��&OLFN�>.H\�ILJXUHV@�0RYH��2UGHU�YDOXH��DERYH��$YHUDJH��'RXEOH�FOLFN��2UGHUTXDQWLW\��WXUQLQJ�LW�EOXH��&OLFN��$YHUDJH��RQFH��&OLFN�>0RYH@�

�� >&RS\@• Save your evaluation. The report will be generated when executing the

report for the first time.

>6DYH@• Do not include the evaluation in a transport request.

1-1-5 Execute your evaluation. You must regenerate the report group. Accept thedefault set names. There is a future exercise using sets.

([LW�IURP�WKH�FUHDWH�WUDQVDFWLRQ�XVLQJ�WKH�\HOORZ�DUURZ�)OH[LEOH�DQDO\VHV�→�(YDOXDWLRQ�→�([HFXWH7KH�HYDOXDWLRQ�VWUXFWXUH�6��DQG�\RXU�HYDOXDWLRQ�(9��VKRXOG�DSSHDU�>([HFXWH@<RXU�UHSRUW�ZLOO�QRZ�EH�JHQHUDWHG��<RX�ZLOO�VHH�D�VHULHV�RI�JHQHUDWLQJ«DQG�FRPSLOLQJ«�PHVVDJHV��7KHVH�RQO\�SURYLGH�LQIRUPDWLRQ�&OLFN�>([HFXWH@�,Q�WKH�VHOHFWLRQ�VFUHHQ��FKRRVH�SXUFKDVLQJ�RUJDQL]DWLRQ��DQG�DPDWHULDO�UDQJH�RI�0��WR�0��'HOHWH�WKH�VHW�QDPHV�VSHFLILHG�IRU�WKLVVHOHFWLRQ�$FFHSW�DOO�RWKHU�GHIDXOW�VHW�QDPHV�>([HFXWH@

© SAP AG LO930 6-44



2Q�SDJH��1-2-2 Display the key and description of the characteristics on each row. Also

change the column width to 45 to accommodate both fields.

6HWWLQJV�→�5HSRUW�OD\RXW�→�7DE��/HDG�FROXPQ>'HILQH�UHSRUW�OD\RXW@&RQWHQWV��.H\�DQG�GHVFULSWLRQ/HDG�FROXPQ��:LGWK� ��>&RQWLQXH@

1-2-3 Change the summation levels to show totals for total organizations,purchasing organization, and vendor. Change the summation levels back.

6HWWLQJV�→�5HSRUW�OD\RXW�→�7DE��5RZV6XPPDWLRQ�LQWHUYDO�)URP�OHYHO��7R�OHYHO��>&RQWLQXH@


7R�FKDQJH�EDFN�WR�WKH�RULJLQDO�GLVSOD\�6XPPDWLRQ�LQWHUYDO�)URP�OHYHO��7R�OHYHO��

1-2-4 Display only those lines whose order values are over 10000.

(GLW�→�7KUHVKROG�YDOXH7KUHVKROG�YDOXH�FRQGLWLRQ�$FWLYH&RQGLWLRQ�!7KUHVKROG�YDOXH��5HIHUHQFH�FROXPQ��2UGHU�YDOXH>&RQWLQXH@

© SAP AG LO930 6-45


(GLW�→�7KUHVKROG�YDOXH7KUHVKROG�YDOXH��>'LVSOD\�H[WUDV@6HOHFW��+LJKOLJKW�VHOHFWHG�URZV��UHG��>&RQWLQXH@7R�GHDFWLYDWH��RU�FKDQJH�EDFN�WR�WKH�RULJLQDO�GLVSOD\�(GLW�→�7KUHVKROG�YDOXH&OLFN�>$FWLYH@>&RQWLQXH@

1-2-6 Sort the report in ascending order, by "Order value".

6HOHFW��2UGHU�YDOXH��E\�FOLFNLQJ�WKH�FROXPQ�RQFH�(GLW�→�6RUWLQJ�→ $VFHQGLQJ7KH�UHSRUW�ZLOO�EH�KLHUDUFKLFDOO\�VRUWHG��PHDQLQJ�ILUVW�WKH�SXUFKDVLQJRUJDQL]DWLRQV�ZLOO�EH�VRUWHG��:LWKLQ�HDFK�SXUFKDVLQJ�RUJDQL]DWLRQ��WKHYHQGRUV�ZLOO�EH�VRUWHG��:LWKLQ�HDFK�YHQGRU��WKH�PDWHULDOV�ZLOO�EH�VRUWHG�DQG�VR�RQ��GRZQ�WR�WKH�PRQWK�ZLWKLQ�HDFK�PDWHULDO�


6HWWLQJV�→�7H[WV�→�7LWOH�SDJH(QWHU�D�WH[W��,I�\RX�ZDQW�WR�JHQHUDWH�IXUWKHU�OLQHV��VHOHFW�WKH�ILUVW�OLQH�DQGFKRRVH�>,QVHUW�OLQH@RU�(GLW�→ ,QVHUW�OLQH�6HOHFW�DV�YDULDEOH�W\SH��>*HQHUDO�WH[W�YDULDEOH@�DQG�WKH�UHTXLUHG�YDULDEOHQDPH��)RU�WKH�IRUPDW��HQWHU�D�VXIILFLHQW�ZLGWK�WR�GLVSOD\�WKH�WH[W�YDULDEOHV�>6DYH@�WKH�WH[W�ZKHQ�\RX�DUH�ILQLVKHG�6FUROO�WR�WKH�VWDUW�RI�WKH�UHSRUW��<RXU�WH[W�LV�GLVSOD\HG�KHUH�


© SAP AG LO930 6-46

1-3 Management has another report with the same information as above. This report is acomparison between the current period and the prior period, for the aboveinformation. This report layout is as follows:

Order quantity Order value Average

Current Previous Current Previous Current Previous

*** Purchasing organization 4321415 4321415** IDES Germany 4321415 4321415* KBB Black Pump 2070 2070 200790 200790 194 194Slug for fly wheel 688 688 66736 66736 97 97Support base 1382 1382 134054 134054 97 97

1-3-1 Using the same evaluation structure as above, S012, create a new evaluationthat will perform this period comparison. Create a new evaluation: (:��HYDOXDWLRQ��IRU�JURXS��. Use the evaluation already created above as amodel.

)URP�WKH�3XUFKDVLQJ�,QIRUPDWLRQ�6\VWHP��385&+,6��PHQX��FKRRVH�)OH[LEOH�DQDO\VHV�→�(YDOXDWLRQ�→�&UHDWH(YDOXDWLRQ�VWUXFWXUH��6��(YDOXDWLRQ��(:��'HVFULSWLRQ��&RPSDULVRQ�IRU�JURXS��&RS\�WKH�GDWD�IURP�UHIHUHQFH�HYDOXDWLRQ��(9��


�� &OLFN��0RQWK��RQFH��WKHQ�>7\SH@��2U�GRXEOH�FOLFN��0RQWK�� 6HOHFW��&RPSDULVRQ�RI�FKDU��SHU�NH\�ILJXUH�� (QWHU��FROXPQV�� >&RS\@�� >/D\RXW�FRQWURO@�RU�(GLW�→�/D\RXW�→�/D\RXW�FRQWURO�� >&RQWLQXH@�� >6DYH@


([LW�IURP�WKH�FUHDWH�WUDQVDFWLRQ�XVLQJ�WKH�\HOORZ�DUURZ�)OH[LEOH�DQDO\VHV�→�(YDOXDWLRQ�→�([HFXWH>([HFXWH@<RXU�UHSRUW�ZLOO�QRZ�EH�JHQHUDWHG�&OLFN�>([HFXWH@�

© SAP AG LO930 6-47


7KH�VHOHFWLRQ�VFUHHQ�QRZ�DVNV�IRU�WZR�PRQWKV��(QWHU�WKH�IROORZLQJ�GDWD�FXUUHQW�PRQWK�DQG�\HDU��DQG�SUHYLRXV�PRQWK�DQG�\HDU�$FFHSW�WKH�GHIDXOW�VHW�QDPHV�>([HFXWH@�


7KHUH�DUH�WZR�OLQHV�LQ�WKH�FROXPQ�KHDGLQJV�WR�DOORZ�IRU�WKH�FRPSDULVRQ�RIFKDUDFWHULVWLFV��PRQWK��SHU�NH\�ILJXUH�



3UHVV�>6HQG�UHSRUW@�RU�5HSRUW�→�6HQG�3UHVV�><HV@�ZKHQ�DVNHG��'R�\RX�ZDQW�WR�VDYH�WKH�VHOHFWHG�GDWD"�(QWHU�D�GHVFULSWLRQ��LI�\RX�ZRXOG�OLNH�)RU�WKLV�H[HUFLVH��GR�QRW�VSHFLI\�D�SDVVZRUG�3UHVV�>(17(5@�(QWHU�D�QRWH��LI�\RX�ZRXOG�OLNH�(QWHU�\RXU�XVHU�QDPH�/2��DV�WKH�UHFLSLHQW�6HOHFW�>([SUHVV�PDLO@��OLJKWHQLQJ�LFRQ��3UHVV�>6HQG@�RU�'RFXPHQW�→�6HQG�


:KHQ�WKH��H[SUHVV�PDLO��PHVVDJH�DSSHDUV��FOLFN�>,QER[@��7KLV�ZLOO�WDNH\RX�LQWR�\RXU�PDLOER[�6HOHFW�>8QYLHZHG�GRFXPHQWV@�RU�>'RFXPHQWV@�'RXEOH�FOLFN�\RXU�PHVVDJH��$FFHSW�\RXU�QRWH��LI�\RX�ZRXOG�OLNH��E\FOLFNLQJ�>(QWHU@��<RX�PD\�KDYH�WR�VHOHFW�WKH�WDE�>'RFXPHQW�FRQWHQWV@�1RWH�WKDW�WR�VHH�WKH�UHVXOWV�RI�\RXU�UHSRUW��\RX�PXVW�UH�H[HFXWH�LW�E\FOLFNLQJ�>([HFXWH@�&KRRVH��'RFXPHQW�→�([HFXWH�3UHVV�WKH�JUHHQ�DUURZ�XQWLO�\RX�UHWXUQ�WR�\RXU�RULJLQDO�UHSRUW�

© SAP AG LO930 6-48


1-5 Once again, you want to perform an analysis based on vendors by region, this timeusing flexible analysis. You want to replace the vendors in your report with thevendor regions as defined below. Your reporting structure:

Europe


North South

1000 1001 1004

1012 1002 1008

1014 1003

1015 1005

1006

1010

1011

1020

1-5-1 Since there is no distinct range of vendors, you first need to create a basicset of all vendors in Southern Germany�that corresponds to the abovereporting structure.

• Create a basic set 6*HUPDQ\�� that only includes the vendors inSouthern Germany. Table S012.

• Create the set using vendors, field name /,)15.

)URP�WKH�3XUFKDVLQJ�,QIRUPDWLRQ�6\VWHP��385&+,6��PHQX��FKRRVH�

© SAP AG LO930 6-49

)OH[LEOH�DQDO\VHV�→�(YDOXDWLRQ�→�([HFXWH7RROV�→�6HWV�→�&UHDWH6HW�,'��6*HUPDQ\��7DEOH��6��,I�\RX�QHHG�WR�VHDUFK�IRU�WKH�WDEOH��EH�VXUH�WR�VHOHFW�5HSRUWLQJ��LQ�WKH�VHDUFK�UDQJH�6HW�W\SH��%DVLF>(QWHU@6SHFLI\�WKH�ILHOG�QDPH�/,)15��9HQGRU��>(QWHU@�

• Enter 6RXWKHUQ�*HUPDQ\��as a description.

<RX�FDQ�DOVR�HQWHU�WKH�GHVFULSWLRQ�LQ�WKH�KHDGHU�GDWD��1R�DGGLWLRQDOGDWD�LV�QHHGHG�LQ�WKH�KHDGHU�

• Enter the vendors, using the following entries. Do NOT enter the shorttext of the line, since this will override the vendor’ s text. Do not selectthe suppress indicator. Save the set.

No. Fromvalue


001 1001

002 1002

003 1003

004 1005

005 1006

006 1010

007 1011

008 1020

&KRRVH�>9DOXHV@�RU�*RWR�→ 9DOXHV�WR�FDOO�XS�WKH�DSSURSULDWHPDLQWHQDQFH�VFUHHQ�(QWHU�WKH�YDOXHV�>6DYH@

© SAP AG LO930 6-50

1-5-2 Create a basic set comprising of the vendors in Northern Germany. Namethe set 1*HUPDQ\��• Enter 1RUWKHUQ�*HUPDQ\��as a description.


No. Fromvalue


001 1000

002 1012

003 1014

004 1015

1-5-3 Create a basic set comprising of the vendors in Great Britain. Name the set*%��• Enter *UHDW�%ULWDLQ��as a description.


No. Fromvalue


001 1004

002 1008

1-6 To include the created sets in the predefined hierarchical structure, you need tocreate a further two single sets.

1-6-1 Create a single set containing the vendors from Northern and SouthernGermany. Name the set *HUPDQ\��>(QWHU@• (QWHU�*HUPDQ\��DV�D�GHVFULSWLRQ�• Enter the following data:

&KRRVH�*RWR�→ 6XERUGLQDWH�VHWV�WR�FDOO�XS�WKH�DSSURSULDWHPDLQWHQDQFH�VFUHHQ�

No. Set ID Set short text SI

001 NGermany-## Northern Germany-##

002 SGermany-## Southern Germany-##

>6DYH@

© SAP AG LO930 6-51

1-6-2 Create a single set containing the vendors from Germany and

Great Britain. Name the set (XURSH��>(QWHU@• (QWHU�(XURSH��DV�D�GHVFULSWLRQ�• Enter the following data:

&KRRVH�*RWR�→ 6XERUGLQDWH�VHWV�WR�FDOO�XS�WKH�DSSURSULDWHPDLQWHQDQFH�VFUHHQ�

No. Set ID Set short text SI

001 Germany-## Germany-##

002 GB-## Great Britain-##

>6DYH@

1-6-3 Execute your flexible analysis EV-## using your new single set (XURSH��.

)URP�WKH�3XUFKDVLQJ�,QIRUPDWLRQ�6\VWHP��385&+,6��PHQX��FKRRVH)OH[LEOH�DQDO\VHV�→�(YDOXDWLRQ�→�([HFXWH(YDOXDWLRQ�VWUXFWXUH��6��(YDOXDWLRQ��(9��>([HFXWH@5HSODFH�WKH�GHIDXOW�VHW�QDPH�IRU�9HQGRUV�ZLWK�\RXU�QHZ�VLQJOH�VHW(XURSH��>([HFXWH@,I�\RX�H[SDQG�WKH�UHSRUW�IXOO\��WKH�QXPEHU�RI�VXPPDWLRQ�OHYHOV�ZLOO�EHGLVSOD\HG�9LHZ�→ /LQH�KLHUDUFK\�→ ([SDQG�DOO


�� 6XEWRWDOV�DUH�GLVSOD\HG�IRU�WKH�LQGLYLGXDO�UHJLRQV�� 7KH�UHSRUW�QRZ�VKRZV�VL[�VXPPDWLRQ�OHYHOV�LQVWHDG�RI�WKH�IRXU�OHYHOV

LQ�WKH�SUHYLRXV�UHSRUWV�

© SAP AG LO930 6-52



1-7-1 Execute the evaluation EW##, the comparison analysis created previously.Specify the current month and year, and prior month and current year.

)OH[LEOH�DQDO\VHV�→�(YDOXDWLRQ�→�([HFXWH6SHFLI\�WKH�FXUUHQW�PRQWK�DQG�\HDU��DQG�SULRU�PRQWK�DQG�FXUUHQW�\HDU�

1-7-2 Complete the following information for your analysis:

([WUDV�→�7HFKQLFDO�LQIRUPDWLRQ

Table 6��Library �$-Report ��$-(:��Report group 'HSHQGLQJ�RQ�V\VWHP�DVVLJQPHQW


)RU�LQIRUPDWLRQ�RQ�WKH�FROXPQ�ZLGWKV�DVVLJQHG�WR�WKH�IRUPDW�JURXSV�FKRRVH�6HWWLQJV�→�5HSRUW�OD\RXW�→�7DE��&ROXPQV�→>2WKHU�IRUPDW�JURXSV@

Columnwidth

Format group 1 ��Format group 2 ��Format group 3 ��Format group 4 �Format group 5 �


© SAP AG LO930 6-53


7KH�ZLGWK�LQ�WKH�IRUPDW�JURXS�FDQ�EH�FKDQJHG��KRZHYHU�WKH�IRUPDW�JURXSDVVLJQHG�WR�WKH�FROXPQV�LV�GHILQHG�LQ�5HSRUW�:ULWHU�


6HOHFW�WKH�DSSURSULDWH�NH\�ILJXUH�FROXPQ�ZLWK�WKH�FXUVRU��WKHQ�FKRRVH6HWWLQJV��→�&ROXPQ�DWWULEXWHV7KH�WLWOH�EDU�QRZ�GLVSOD\V�WKH�DFWLYH�IRUPDW�JURXS�IRU�WKH�VHOHFWHG�NH\ILJXUH�FROXPQ�)RUPDW�JURXS��FRUUHVSRQGV�WR�D�FROXPQ�ZLGWK�RI��


1. Access Report Writer by changing the definition of your report�([WUDV�→ 'HILQLWLRQ�→ &KDQJH



key figures.

13. Assign the following format groups to the key figures: (Field FGr).


Order value Format group 3

Average Format group 4

14. Save your entries. Use the green arrow to return to &KDQJH�5HSRUW�&ROXPQV�screen. If message "Do you want to activate them?" appears,press Enter.




�6HOHFW�WKH�DSSURSULDWH�NH\�ILJXUH�FROXPQ�ZLWK�WKH�FXUVRU��WKHQ�FKRRVH6HWWLQJV��→�&ROXPQ�DWWULEXWHV7KH�WLWOH�EDU�QRZ�GLVSOD\V�WKH�DFWLYH�IRUPDW�JURXS�IRU�WKH�VHOHFWHG�NH\ILJXUH�FROXPQ�

© SAP AG LO930 6-54


6HWWLQJV��→�&ROXPQ�DWWULEXWHV �&KDQJHG�IRU�HDFK�NH\�ILJXUH�FROXPQ�Column width

Format group 2 20

Format group 3 8

Format group 4 12

)RU�DOO�NH\�ILJXUH�FROXPQV�6HWWLQJV�→�5HSRUW�OD\RXW�→�7DE��&ROXPQV�→>2WKHU�IRUPDW�JURXSV@




$FFHVV�5HSRUW�:ULWHU�E\�GLVSOD\LQJ�WKH�GHILQLWLRQ�RI�\RXU�UHSRUW�([WUDV�→ 'HILQLWLRQ�→ 'LVSOD\�


&KRRVH�*RWR�→ 5RZ�RYHUYLHZ�&OLFN�5RZ�EORFN�RQFH��DQG�WKHQ�FKRRVH�>'LVSOD\�VHW@��RU�(GLW�→�'LVSOD\VHW�7KH�FKDUDFWHULVWLFV�RI�\RXU�UHSRUW�DUH�GHWDLOHG�


*RWR�→�&ROXPQV&OLFN�&ROXPQ�EORFN�RQFH��DQG�WKHQ�FKRRVH�>'LVSOD\�VHW@��RU�(GLW�→'LVSOD\�VHW�7KH�NH\�ILJXUHV�RI�\RXU�UHSRUW�DUH�GHWDLOHG�


*RWR�→�7H[WV7KH�WH[WV�VSHFLILHG�LQ�\RXU�UHSRUW�DUH�GLVSOD\HG�


*RWR�→�+HDGHU


© SAP AG LO930 6-55






© SAP AG LO930 6-56


IncomingOrders

IncomingOrder

Quantity

AverageSalesPrice

******Total Organization 540000 100 5400***** Sales Organization Germany 540000 100 5400**** Direct Sales 420000 80 5250*** Pumps 105000 35 3000** Northern Germany 105000 35 3000* Becker Berlin 65000 25 2600 Pump cast steel 25000 5 5000 Pump standard 49000 20 2450 PVC – custom 1000 20 50* Minerva Energy 31000 10 3100 Pump cast steel 11000 5 2200 Pump chrome 20000 5 4000*** Motorcycles 315000 45 7000** Northern Germany 40000 40 525* Becker Berlin 40000 40 525 HD Brake system 30000 20 150 HD Helmet 10000 20 500** Southern Germany* Crystal Clear SAPSOTA Fun Driver**** Service*** Pumps** Northern Germany* Becker Berlin 1 Year Service Spare Parts Contract*** Motorcycles** Southern Germany* Crystal Clear 1 Year Service

The lowest level of detail for this report isMaterial.

* Asterisks indicate the summation level.The summation levels are as follows:***** Sales Organization**** Distribution Channel*** Division** Sales District* Sold-to Party

© SAP AG LO930 6-57


&KDUDFWHULVWLFV .H\�ILJXUHV6DOHV�RUJDQL]DWLRQ ,QFRPLQJ�RUGHUV'LVWULEXWLRQ�FKDQQHO ,QFRPLQJ�RUGHU�TXDQWLW\'LYLVLRQ $YHUDJH�6HOOLQJ�3ULFH��$63�6DOHV�GLVWULFW6ROG�WR�SDUW\0DWHULDO


<RX�FDQ�FDOO�XS�WKLV�LQIRUPDWLRQ�XVLQJ�6��6DOHV�2UJDQL]DWLRQ�Note: For the next exercises we will use the evaluation structure with thesame name, which was generated automatically when the informationstructure was created.

2-1-3 Is the key figure Average Selling Price in the evaluation structure?

)URP�WKH�6DOHV�,QIRUPDWLRQ�6\VWHP��6,6��PHQX��FKRRVH�)OH[LEOH�DQDO\VHV�→�(YDOXDWLRQ�→�&UHDWH(YDOXDWLRQ�VWUXFWXUH��6��>(QWHU@1R��7KLV�PXVW�EH�FDOFXODWHG�XVLQJ�D�IRUPXOD�

© SAP AG LO930 6-58

2-1-4 Using the evaluation structure 6��, create the evaluation (9��(YDOXDWLRQ��IRU�JURXS��)URP�WKH�6DOHV�,QIRUPDWLRQ�6\VWHP��6,6��PHQX��FKRRVH�)OH[LEOH�DQDO\VHV�→�(YDOXDWLRQ�→�&UHDWH(YDOXDWLRQ�VWUXFWXUH��6��(YDOXDWLRQ��(9��'HVFULSWLRQ��(YDOXDWLRQ��IRU�JURXS��>(QWHU@'R�QRW�FRS\�IURP�DQ�H[LVWLQJ�HYDOXDWLRQ�• Select the characteristics you listed above. Ensure that they are in the

order specified by the summation levels.

�� >&KDUDFWHULVWLFV@�� 6HOHFW�WKH�IROORZLQJ�FKDUDFWHULVWLFV�IURP�WKH�OLVW�

6DOHV�RUJDQL]DWLRQ'LVWULEXWLRQ�FKDQQHO'LYLVLRQ6DOHV�GLVWULFW6ROG�WR�SDUW\0DWHULDO1RWH�WKDW�DV�\RX�VHOHFW�WKH�FKDUDFWHULVWLFV��WKH\�DUH�LQ�DOSKDEHWLFDORUGHU��QRW�LQ�WKH�RUGHU�\RX�ZDQW�WR�VHH�WKHP�RQ�WKH�UHSRUW�

�� >&RS\��FORVH@�� 0RYH��6DOHV�RUJDQL]DWLRQ��WR�WKH�WRS�RI�WKH�OLVW�E\�GRXEOH�FOLFNLQJ

WKH�KHDGLQJ��&KDUDFWHULVWLFV��,Q�WKH�ZLQGRZ�WKDW�DSSHDUV�GRXEOH�FOLFN��6DOHV�RUJDQL]DWLRQ��ZKLFK�ZLOO�WKHQ�WXUQ�EOXH��7KHQFOLFN��6ROG�WR�SDUW\��RQFH��&OLFN�>0RYH@�DW�WKH�ERWWRP�RI�WKHZLQGRZ��7KLV�ZLOO�SODFH��6DOHV�RUJDQL]DWLRQ��$%29(��6ROG�WRSDUW\��

�� 0RYH�DOO�RWKHU�FKDUDFWHULVWLFV�LQ�WKH�VDPH�ZD\�XQWLO�WKH\�DUH�LQ�WKHRUGHU�RXWOLQHG�DERYH�

�� >&RS\@• Select the key figures you listed above. Note that you can select only

two of the three key figures in the report from the evaluation structure.

�� >.H\�ILJXUHV@�� 6HOHFW�WKH�IROORZLQJ�NH\�ILJXUHV�IURP�WKH�OLVW�

,QFRPLQJ�RUGHUV,QFRPLQJ�RUGHUV�TXDQWLW\

�� >&RS\��FORVH@�� >&RS\@

© SAP AG LO930 6-59

• Create a new key figure called ASP. The formula should be calculatedas follows:,QFRPLQJ�2UGHUV��,QFRPLQJ�2UGHUV�4XDQWLW\�� &OLFN��2UGHUV�TXDQWLW\��RQFH�� &KRRVH�>,QVHUW�IRUPXOD@�RU�(GLW�→�,QVHUW�)RUPXOD�� (QWHU�WKH�QDPH�RI�\RXU�NH\�ILJXUH��$63�� (QWHU�\RXU�IRUPXOD��7DE�WR�WKH�ILUVW�EODQN�OLQH��'RXEOH�FOLFN

�,QFRPLQJ�RUGHUV��(QWHU�µ�¶�WR�GLYLGH��'RXEOH�FOLFN��,QFRPLQJRUGHUV�TXDQWLW\��<RXU�IRUPXOD�VKRXOG�EH�6��$(1(7:5�6��$(0(1*(

�� >&RS\@�� <RX�PXVW�QRZ�FKDQJH�WKH�RUGHU�RI�\RXU�NH\�ILJXUHV�VR�$63

DSSHDUV�LQ�WKH�ODVW�FROXPQ�RI�\RXU�UHSRUW��&OLFN�>.H\�ILJXUHV@�0RYH��,QFRPLQJ�RUGHUV�TXDQWLW\��DERYH��$63��'RXEOH�FOLFN�,QFRPLQJ�RUGHUV�TXDQWLW\��WXUQLQJ�LW�EOXH��&OLFN��$63��RQFH�&OLFN�>0RYH@�

�� >&RS\@• Save your evaluation. The report will be generated when executing the

report for the first time.

>6DYH@• Do not include the evaluation in a transport request.

2-1-5 Execute your evaluation. You must regenerate the report group. Accept thedefault set names. There is an exercise using sets later on.

([LW�IURP�WKH�FUHDWH�WUDQVDFWLRQ�XVLQJ�WKH�\HOORZ�DUURZ�)OH[LEOH�DQDO\VHV�→�(YDOXDWLRQ�→�([HFXWH7KH�HYDOXDWLRQ�VWUXFWXUH�6��DQG�\RXU�HYDOXDWLRQ�(9��VKRXOG�QRZDSSHDU�>([HFXWH@<RXU�UHSRUW�ZLOO�QRZ�EH�JHQHUDWHG��<RX�ZLOO�VHH�D�VHULHV�RI�JHQHUDWLQJ«DQG�FRPSLOLQJ«�PHVVDJHV��7KHVH�RQO\�SURYLGH�LQIRUPDWLRQ�&OLFN�>([HFXWH@�&KRRVH�VDOHV�RUJDQL]DWLRQ��LQ�WKH�VHOHFWLRQ�VFUHHQ��'HOHWH�WKH�VHWQDPHV�VSHFLILHG�IRU�WKLV�VHOHFWLRQ�$FFHSW�DOO�RWKHU�GHIDXOW�VHW�QDPHV�>([HFXWH@

© SAP AG LO930 6-60



2Q�SDJH��2-2-2 Display the key and description of the characteristics on each row. Also

change the column width to 45 to accommodate both fields.

6HWWLQJV�→�5HSRUW�OD\RXW�→�7DE��/HDG�FROXPQ>'HILQH�UHSRUW�OD\RXW@&RQWHQWV��.H\�DQG�GHVFULSWLRQ/HDG�FROXPQ��:LGWK� ��>&RQWLQXH@

2-2-3 Change the summation levels to show totals for sales organization,distribution channel, and division. Change the summation levels back.

6HWWLQJV�→�5HSRUW�OD\RXW�→�7DE��>5RZV@6XPPDWLRQ�LQWHUYDO�)URP�OHYHO��7R�OHYHO��>&RQWLQXH@


7R�FKDQJH�EDFN�WR�WKH�RULJLQDO�GLVSOD\�6XPPDWLRQ�LQWHUYDO�)URP�OHYHO��7R�OHYHO��

2-2-4 Display only those lines whose incoming orders are over 5000.

(GLW�→�7KUHVKROG�YDOXH7KUHVKROG�YDOXH�FRQGLWLRQ�$FWLYH&RQGLWLRQ�!7KUHVKROG�YDOXH��5HI��FROXPQ��,QFRPLQJ�RUGHUV>&RQWLQXH@

© SAP AG LO930 6-61


(GLW�→�7KUHVKROG�YDOXH>'LVSOD\�H[WUDV@6HOHFW��+LJKOLJKW�VHOHFWHG�URZV��UHG��>&RQWLQXH@7R�GHDFWLYDWH��RU�FKDQJH�EDFN�WR�WKH�RULJLQDO�GLVSOD\�(GLW�→�7KUHVKROG�YDOXH&OLFN�>$FWLYH@�>&RQWLQXH@

2-2-6 Sort the report in ascending order, by incoming orders.

6HOHFW�LQFRPLQJ�RUGHUV�E\�FOLFNLQJ�WKH�FROXPQ�RQFH�(GLW�→�6RUWLQJ�→ $VFHQGLQJ7KH�UHSRUW�ZLOO�EH�KLHUDUFKLFDOO\�VRUWHG��ZKLFK�PHDQV�WKDW�ILUVW�WKH�VDOHVRUJDQL]DWLRQV�ZLOO�EH�VRUWHG��:LWKLQ�HDFK�VDOHV�RUJDQL]DWLRQ��WKHGLVWULEXWLRQ�FKDQQHOV�ZLOO�EH�VRUWHG��:LWKLQ�HDFK�GLVWULEXWLRQ�FKDQQHO��WKHGLYLVLRQV�ZLOO�EH�VRUWHG��DQG�VR�RQ��GRZQ�WR�WKH�PDWHULDO�ZLWKLQ�HDFK�VROG�WR�SDUW\�


6HWWLQJV�→�7H[WV�→�7LWOH�SDJH(QWHU�D�WH[W��7R�FUHDWH�DGGLWLRQDO�OLQHV��VHOHFW�WKH�ILUVW�OLQH�DQG�XVH�>,QVHUWOLQHV@�RU�(GLW�→�,QVHUW�OLQH�6HOHFW�DV�YDULDEOH�W\SH��>*HQHUDO�WH[W�YDULDEOH@�DQG�WKH�UHTXLUHG�YDULDEOHQDPH��)RU�WKH�IRUPDW��HQWHU�D�VXIILFLHQW�ZLGWK�WR�GLVSOD\�WKH�WH[WYDULDEOHV�>6DYH@�WKH�WH[W�ZKHQ�\RX�DUH�ILQLVKHG�6FUROO�WR�WKH�VWDUW�RI�WKH�UHSRUW��<RXU�WH[W�LV�GLVSOD\HG�KHUH�


© SAP AG LO930 6-62

2-3 Management has another report with the same information as above. This report is acomparison between the current period and the prior period, for the aboveinformation. This report layout is as follows:

Incoming orders Incoming OrderQuantity

Average Sales Price

Current Previous Current Previous Current Previous******Total Organization 540000 540000 100 100 5400 5400***** Sales OrganizationGermany

540000 540000 100 100 5400 5400

**** Direct Sales 420000 420000 80 80 5250 5250*** Pumps 105000 105000 35 35 3000 3000** Northern Germany 105000 105000 35 35 3000 3000* Becker Berlin 65000 65000 25 25 2600 2600 Pump cast steel 25000 25000 5 5 5000 5000 Pump standard 49000 49000 20 20 2450 2450 PVC – custom 1000 1000 20 20 50 50* Minerva Energy 31000 31000 10 10 3100 3100 Pump cast steel 11000 11000 5 5 2200 2200 Pump chrome 20000 20000 5 5 4000 4000*** Motorcycles 315000 315000 45 45 7000 7000** Northern Germany 40000 40000 40 40 525 525* Becker Berlin 40000 40000 40 40 525 525 HD Brake system 30000 30000 20 20 150 150 HD Helmet 10000 10000 20 20 500 500** Southern Germany 275000 275000 5 5 55000 55000* Crystal Clear 275000 275000 5 5 55000 55000 SAPSOTA Fun 275000 275000 5 5 55000 55000**** Service 120000 120000 20 20 6000 6000*** Pumps 20000 20000 10 10 2000 2000** Northern Germany 20000 20000 10 10 2000 2000* Becker Berlin 20000 20000 10 10 2000 2000 1 Year Service 10000 10000 5 5 2000 2000 Spare Parts 10000 10000 5 5 2000 2000*** Motorcycles 100000 100000 10 10 10000 10000** Northern Germany 100000 100000 10 10 10000 10000* Crystal Clear 100000 100000 10 10 10000 10000 1 Year Service 100000 100000 10 10 10000 10000

The lowest level of detail for this report is Material. The summation level structuresare the same as the previous report.

© SAP AG LO930 6-63

2-3-1 Using the same evaluation structure as above, S003, create a new evaluationthat will perform this period comparison. You must add the characteristicMonth to facilitate this.

• Create a new evaluation: (:��HYDOXDWLRQ��IRU�JURXS��. Use theevaluation already created above as a model.

)URP�WKH�6DOHV�,QIRUPDWLRQ�6\VWHP��6,6��PHQX��FKRRVH�)OH[LEOH�DQDO\VHV�→�(YDOXDWLRQ�→�&UHDWH(YDOXDWLRQ�VWUXFWXUH��6��(YDOXDWLRQ��(:��'HVFULSWLRQ��&RPSDULVRQ�IRU�JURXS��&RS\�WKH�GDWD�IURP�UHIHUHQFH�HYDOXDWLRQ��(9��

• Add Month to your list of characteristics. You can attach it to the end ofthe list.

�� &OLFN�>&KDUDFWHULVWLFV@��WKHQ�>6HOHFWLRQ�OLVW@�� 6HOHFW�0RQWK�� >&RS\��FORVH@�� >&RS\@


�� &OLFN��0RQWK��RQFH��WKHQ�>7\SH@��2U�GRXEOH�FOLFN��0RQWK�� 6HOHFW��&RPSDULVRQ�RI�FKDU��SHU�NH\�ILJXUH�� (QWHU��FROXPQV�� >&RS\@�� >/D\RXW�FRQWURO@�RU�(GLW�→�/D\RXW�→�/D\RXW�FRQWURO�� >&RQWLQXH@�� >6DYH@

© SAP AG LO930 6-64


([LW�IURP�WKH�FUHDWH�WUDQVDFWLRQ�XVLQJ�WKH�\HOORZ�DUURZ�)OH[LEOH�DQDO\VHV�→�(YDOXDWLRQ�→�([HFXWH>([HFXWH@<RXU�UHSRUW�ZLOO�QRZ�EH�JHQHUDWHG�&OLFN�>([HFXWH@�


7KH�VHOHFWLRQ�VFUHHQ�QRZ�DVNV�IRU�WZR�PRQWKV��(QWHU�WKH�IROORZLQJ�GDWD�FXUUHQW�PRQWK�DQG�\HDU��DQG�SUHYLRXV�PRQWK�DQG�FXUUHQW�\HDU�$FFHSW�WKH�GHIDXOW�VHW�QDPHV�>([HFXWH@�


7KHUH�DUH�WZR�OLQHV�LQ�WKH�FROXPQ�KHDGLQJV�WR�DOORZ�IRU�WKH�FRPSDULVRQ�RIFKDUDFWHULVWLFV��PRQWK��SHU�NH\�ILJXUH�



3UHVV�>6HQG�UHSRUW@�RU�5HSRUW�→�6HQG�3UHVV�><HV@�ZKHQ�DVNHG��'R�\RX�ZDQW�WR�VDYH�WKH�VHOHFWHG�GDWD"�(QWHU�D�GHVFULSWLRQ��LI�\RX�ZRXOG�OLNH�)RU�WKLV�H[HUFLVH��GR�QRW�VSHFLI\�D�SDVVZRUG�3UHVV�>(17(5@�(QWHU�D�QRWH��LI�\RX�ZRXOG�OLNH�(QWHU�\RXU�XVHU�QDPH�/2��DV�WKH�UHFLSLHQW�6HOHFW�>([SUHVV�PDLO@��OLJKWHQLQJ�LFRQ��3UHVV�>6HQG@�RU�'RFXPHQW�→�6HQG�


:KHQ�WKH��H[SUHVV�PDLO��PHVVDJH�DSSHDUV��FOLFN�>,QER[@��7KLV�ZLOO�WDNH\RX�LQWR�\RXU�PDLOER[�6HOHFW�>8QYLHZHG�GRFXPHQWV@�RU�>'RFXPHQWV@�$FFHSW�\RXU�QRWH��E\�GRXEOH�FOLFNLQJ�LW�RU�E\�FOLFNLQJ�>(QWHU@��<RX�PD\KDYH�WR�VHOHFW�WKH�WDE�>'RFXPHQW�FRQWHQWV@�1RWH�WKDW�WR�VHH�WKH�UHVXOWV�RI�\RXU�UHSRUW��\RX�PXVW�UH�H[HFXWH�LW�E\FOLFNLQJ�>([HFXWH@�&KRRVH��'RFXPHQW�→�([HFXWH�3UHVV�WKH�JUHHQ�DUURZ�XQWLO�\RX�UHWXUQ�WR�\RXU�RULJLQDO�UHSRUW�

© SAP AG LO930 6-65


2-5 You again want to perform an analysis based on groups of sales districts, this timeusing flexible analysis. You want to replace the individual sales district lines inyour report with the groups as defined below. In order to do this, you must first setup sets of sales districts. Your reporting structure:

Germany USA

NorthGermanyDE0010

SouthGermanyDE0015

WesternUSA

RegionUS0020



NorthernUSA

RegionUS0010

CentralUSA

RegionUS0015

NorthernFrance

FR0010

France

EasternUSA

RegionUS0025

EasternFrance

FR0025

WesternFrance

FR0020

SouthernFrance

FR0015

Mexico

Region 3MX0020

Region 1MX0010

Region 2MX0015

Region 4MX0025

2-5-1 Create a basic set corresponding to the above reporting structure.

• Create a basic set 'LVWULFW�� for table S003, which comprises theranges above.

• Create the set using a sales district, field name BZIRK.

)URP�WKH�6DOHV�,QIRUPDWLRQ�6\VWHP��6,6��PHQX��FKRRVH�)OH[LEOH�DQDO\VHV�→�(YDOXDWLRQ�→�([HFXWH7RROV�→�6HWV�→�&UHDWH6HW�,'��'LVWULFW��7DEOH��6��,I�\RX�QHHG�WR�VHDUFK�IRU�WKH�WDEOH��EH�VXUH�WR�VHOHFW�5HSRUWLQJ��LQ�WKH�VHDUFK�UDQJH�6HW�W\SH��%DVLF>(QWHU@6SHFLI\�WKH�ILHOG�QDPH�%=,5.��6DOHV�GLVWULFW��>(QWHU@�

© SAP AG LO930 6-66

• Enter 'LVWULFWV�IRU�JURXS�� as a description.

<RX�FDQ�DOVR�HQWHU�WKH�GHVFULSWLRQ�LQ�WKH�KHDGHU�GDWD�1R�DGGLWLRQDO�GDWD�LV�QHHGHG�LQ�WKH�KHDGHU�

• Enter the four areas for the values listed above. Enter the following data:Select the suppress indicator so only the set totals are displayed. Savethe set.

No. Fromvalue


001 DE0000 DE9999 Germany X

002 FR0000 FR9999 France X

003 US0000 US9999 USA X

004 MX0000 MX9999 Mexico X

&KRRVH�>9DOXHV@�RU�*RWR�→ 9DOXHV�WR�FDOO�XS�WKH�DSSURSULDWHPDLQWHQDQFH�VFUHHQ�(QWHU�WKH�IRXU�UDQJHV�>6DYH@

2-5-2 Execute your flexible analysis for your original report using yourSet ID 'LVWULFW��)URP�WKH�6DOHV�,QIRUPDWLRQ�6\VWHP��6,6��PHQX��FKRRVH)OH[LEOH�DQDO\VHV�→�(YDOXDWLRQ�→�([HFXWH(YDOXDWLRQ�VWUXFWXUH��6��(YDOXDWLRQ��(9��>([HFXWH@5HSODFH�WKH�GHIDXOW�VHW�QDPH�IRU��6DOHV�GLVWULFW��ZLWK�\RXU�QHZ�EDVLF�VHW'LVWULFW��>([HFXWH@

2-5-3 What do you notice about your new report?

7KH�VDOHV�GLVWULFW�KDV�EHHQ�UHSODFHG�ZLWK�WKH�VKRUW�WH[W�RI�WKH�VHW�OLQH�

© SAP AG LO930 6-67

*2-6 You now want the report to show the complete hierarchy of your sales districts. Inother words, you want to see the subtotals for each group of sales districts AND thetotal for each district.

2-6-1 Create a basic set for each group of districts. Name the sets *HUPDQ\��)UDQFH�� 86$�� and 0H[LFR��. Do NOT select the suppress indicator.This will allow you to see the details of each sales district.

)URP�WKH�PDLQ�5��PHQX��FKRRVH�,QIRUPDWLRQ�6\VWHPV�→�$G�+RF�5HSRUWV�→�5HSRUW�3DLQWHU�→�5HSRUW:ULWHU�→�6HW�→�&UHDWH6HW�,'��*HUPDQ\��7DEOH��6��7R�VHDUFK�WDEOH�QDPHV��EH�VXUH�WR�VHOHFW�5HSRUWLQJ�LQ�WKH�VHDUFK�UDQJH�6HW�W\SH��%DVLF>(QWHU@6SHFLI\�WKH�ILHOG�QDPH�%=,5.��6DOHV�GLVWULFW��>(QWHU@�'HVFULSWLRQ��*HUPDQ\&KRRVH�>9DOXHV@�RU�*RWR�→ 9DOXHV�WR�FDOO�XS�WKH�DSSURSULDWHPDLQWHQDQFH�VFUHHQ�7KH�EDVLF�HQWULHV�VFUHHQ�VKRXOG�EH�DV�IROORZV�1R� )URP�YDOXH 7R�YDOXH 6KRUW�WH[W�RI�VHW�OLQH 6,�� '(�� '(�� *HUPDQ\>6DYH@6HW�,'��)UDQFH��7DEOH��6��6HW�W\SH��%DVLF>(QWHU@6SHFLI\�WKH�ILHOG�QDPH�%=,5.��6DOHV�GLVWULFW��>(QWHU@�'HVFULSWLRQ��)UDQFH&KRRVH�>9DOXHV@�RU�*RWR�→ 9DOXHV�WR�FDOO�XS�WKH�DSSURSULDWHPDLQWHQDQFH�VFUHHQ�7KH�EDVLF�HQWULHV�VFUHHQ�IRU�WKLV�VHW�VKRXOG�EH�DV�IROORZV�1R� )URP�YDOXH 7R�YDOXH 6KRUW�WH[W�RI�VHW�OLQH 6,�� )5�� )5�� )UDQFH>6DYH@3HUIRUP�WKH�VDPH�VWHSV�IRU�86$�DQG�0H[LFR�

© SAP AG LO930 6-68

2-6-2 Create a single set $OO�'LVWULFWV��, containing the four basic sets youcreated above.

Your value lines should be as follows:

No. Set ID Short text SI

001 Germany-## Germany

002 France-## France

003 USA-## USA

004 Mexico-## Mexico

Do NOT select the suppress indicators in this set.

6HW�,'��$OO�'LVWULFWV��7DEOH��6��6HW�W\SH��6LQJOH�VHW>(QWHU@6SHFLI\�WKH�ILHOG�QDPH�%=,5.��6DOHV�GLVWULFW��>(QWHU@�'HVFULSWLRQ��$OO�GLVWULFWV(QWHU�WKH�IRXU�EDVLF�VHWV��&KRRVH�*RWR�→ 6XERUGLQDWH�VHWV�WR�FDOO�XS�WKHDSSURSULDWH�PDLQWHQDQFH�VFUHHQ�>6DYH@�

2-6-3 Execute the flexible analysis using your new single set $OO�'LVWULFWV��.

)URP�WKH�6DOHV�,QIRUPDWLRQ�6\VWHP��6,6��PHQX��FKRRVH)OH[LEOH�DQDO\VHV�→�(YDOXDWLRQ�→�([HFXWH(YDOXDWLRQ�VWUXFWXUH��6��(YDOXDWLRQ��(9��>([HFXWH@5HSODFH�WKH�GHIDXOW�VHW�QDPH�IRU�VDOHV�GLVWULFW�ZLWK�\RXU�QHZ�VLQJOH�VHW�$OO�'LVWULFWV��>([HFXWH@


�� 6XEWRWDOV�DUH�GLVSOD\HG�IRU�ERWK�WKH�VDOHV�GLVWULFW�JURXSV�DQG�WKHLQGLYLGXDO�VDOHV�GLVWULFWV�

�� 7KH�UHSRUW�QRZ�VKRZV�VHYHQ�VXPPDWLRQ�OHYHOV�LQVWHDG�RI�WKH�VL[�OHYHOVLQ�WKH�SUHYLRXV�UHSRUWV�

© SAP AG LO930 6-69



2-7-1 Execute the evaluation EW##, the comparison analysis created previously.Specify the current month and year, and prior month and year.

)OH[LEOH�DQDO\VHV�→�(YDOXDWLRQ�→�([HFXWH6SHFLI\�WKH�FXUUHQW�PRQWK�DQG�\HDU��DQG�SULRU�PRQWK�DQG�\HDU�

2-7-2 Complete the following information:

([WUDV�→�7HFKQLFDO�LQIRUPDWLRQ

Table 6��Library �$(Report ��$((:��Report group 'HSHQGLQJ�RQ�V\VWHP�DVVLJQPHQW


)RU�LQIRUPDWLRQ�RQ�WKH�FROXPQ�ZLGWKV�DVVLJQHG�WR�WKH�IRUPDW�JURXSV�FKRRVH�6HWWLQJV�→�5HSRUW�OD\RXW�→�7DE��&ROXPQV�→>2WKHU�IRUPDW�JURXSV@

Column width

Format group 1 ��Format group 2 ��Format group 3 ��Format group 4 �Format group 5 �


© SAP AG LO930 6-70


7KH�ZLGWK�LQ�WKH�IRUPDW�JURXS�FDQ�EH�FKDQJHG��KRZHYHU�WKH�IRUPDW�JURXSDVVLJQHG�WR�WKH�FROXPQV�LV�GHILQHG�LQ�5HSRUW�:ULWHU�


6HOHFW�WKH�DSSURSULDWH�NH\�ILJXUH�FROXPQ�ZLWK�WKH�FXUVRU��WKHQ�FKRRVH6HWWLQJV��→�&ROXPQ�DWWULEXWHV7KH�WLWOH�EDU�QRZ�GLVSOD\V�WKH�DFWLYH�IRUPDW�JURXS�IRU�WKH�VHOHFWHG�NH\ILJXUH�FROXPQ�)RUPDW�JURXS��FRUUHVSRQGV�WR�D�FROXPQ�ZLGWK�RI��


9. Access Report Writer by changing the definition of your report�([WUDV�→ 'HILQLWLRQ�→ &KDQJH



key figures.

13. Assign the following format groups to the key figures: (Field )*U).

Incoming orders Format group 2


ASP Format group 4





6HOHFW�WKH�DSSURSULDWH�NH\�ILJXUH�FROXPQ�ZLWK�WKH�FXUVRU��WKHQ�FKRRVH6HWWLQJV��→�&ROXPQ�DWWULEXWHV�7KH�WLWOH�EDU�QRZ�GLVSOD\V�WKH�DFWLYH�IRUPDW�JURXS�IRU�WKH�VHOHFWHG�NH\ILJXUH�FROXPQ�

© SAP AG LO930 6-71


6HWWLQJV��→�&ROXPQ�DWWULEXWHV� �&KDQJHG�IRU�HDFK�NH\�ILJXUH�FROXPQ�Column width

Format group 2 20

Format group 3 8

Format group 4 12

)RU�DOO�NH\�ILJXUH�FROXPQV�6HWWLQJV�→�5HSRUW�OD\RXW�→�7DE��>&ROXPQV@→�>2WKHU�IRUPDW�JURXSV@




$FFHVV�5HSRUW�:ULWHU�E\�GLVSOD\LQJ�WKH�GHILQLWLRQ�RI�\RXU�UHSRUW�([WUDV�→ 'LVSOD\�GHILQLWLRQ�


&KRRVH�*RWR�→ 5RZ�RYHUYLHZ�&OLFN�5RZ�EORFN�RQFH��DQG�WKHQ�FKRRVH�>'LVSOD\�VHW@��RU�(GLW�→�'LVSOD\VHW�7KH�FKDUDFWHULVWLFV�RI�\RXU�UHSRUW�DUH�GHWDLOHG�


*RWR�→�&ROXPQV&OLFN�&ROXPQ�EORFN�RQFH��DQG�WKHQ�FKRRVH�>'LVSOD\�VHW@��RU�(GLW�→'LVSOD\�VHW�7KH�NH\�ILJXUHV�RI�\RXU�UHSRUW�DUH�GHWDLOHG�


*RWR�→�7H[WV7KH�WH[WV�VSHFLILHG�LQ�\RXU�UHSRUW�DUH�GLVSOD\HG�


*RWR�→�+HDGHU


© SAP AG LO930 7-1

SAP AG 1999

/,6�(QYLURQPHQW

l 6WDQGDUG�DQDO\VLV�GDWD�LQ�([FHOl 5HSRUWLQJ�GDWD�LQ�([FHO

&RQWHQWV�

© SAP AG LO930 7-2

SAP AG 1999

/,6�(QYLURQPHQW��8QLW�2EMHFWLYHV

l 'LVSOD\�DQG�SURFHVV�/,6�GDWD�LQ�([FHO�IRUPDW


© SAP AG LO930 7-3

SAP AG 1999

/,6�(QYLURQPHQW��2YHUYLHZ


)OH[LEOH�DQDO\VLV




•��

• �� • �!��"�#�! ��•�$�� #�� %��&�' ��(�

• �)� ��#�� *�� • ��+��+�#��

,�-./.0102!3 �4��(��

5 �� 76

n This unit describes how LIS data can be transferred to Excel, providing an additional reportingoption within the Logistics Information System.

© SAP AG LO930 7-4

SAP AG 1999

/,6�(QYLURQPHQW��%XVLQHVV�6FHQDULR

l 0DQDJHPHQW�ZRXOG�OLNH�WR�YLHZ�VWDWLVWLFDORYHUYLHZV�LQ�([FHO�IRUPDW��DV�WKLV�LV�WKHLU�XVXDOEXVLQHVV�SUDFWLFH�

© SAP AG LO930 7-5

SAP AG 1999

0 ��&�!��

M-01M-02M-03

2!3 ��!�

8�� 5 �� 10,00020,00025,000

9001,000 750


)OH[LEOH�DQDO\VLV

6WDQGDUG�DQDO\VLV

7UDQVIHU�RI�/,6�'DWD�WR�([FHO

8%� 5 ��9 � �!�� :

n You can transfer data to Excel using all the reporting functions already discussed within theLogistics Information System. Standard analyses, selection versions, early warning systems andflexible analyses provide easy-to-use tools for transferring data.

n This unit focuses on data transfer from standard analyses to Excel.

© SAP AG LO930 7-6

SAP AG 1999

7UDQVIHU�IURP�6WDQGDUG�$QDO\VHV�WR�([FHO

0 �(�4�!� �� :�� .$;=<$> - �

�$��#�?�@ �(��A�%B�C� �Unconverted

Rich text formatSpreadsheet

> ��!�#��1��(�!��(��!� �� POrgVendorMaterialMat groupPlantMonth

D

D

DDDD

2�3�E ��4�F� ��'� GIH&�(��Store in SAPofficeStore as PC fileExcel SAP MacrosExcel displayExcel pivot table

0 ��&�� !�

M-01M-02M-03

2�3 ��

81� 5 �� 10,00020,00025,000

9001,000 750

8�� 5 �!�9 � ��(�� 4:

HTML format

Material Ordervalue

Orderquantity

100,000200,000150,000300,000

9001,0002,5002,657

•

M-01M-02M-03M-04

Transfer to XXLSave to PC file

...PrintExportSend...

Material analysis

n You can transfer data from standard analyses (including selection versions and Early WarningSystem) to Excel in two different ways.

n One method is to save the current content of a list locally as an ASCII file using the ’Save to PC file’function with the spreadsheet option. You can then open this file in Excel.

n The other option is implemented via the function ’Transfer to XXL’. Data is transferred to the XXLinterface in the form of a list object. XXL (Extended Excel) comprises the tools for displaying andmanipulating list objects from R/3 applications. You first have to define the characteristics to betransferred. The figures transferred are the key figures in the current standard analysis list.Depending on the software installed on your computer, you can use XXL to transfer data to thefollowing media:

é SAPoffice: You can save the list object to the SAPoffice inbox. From there you can send the listobject or save it in a folder.

é PC file: You can save the list object to the local file system for subsequent editing using anotherdisplay media at your disposal.

é Excel display: Table display with all characteristics combinations.

é Excel SAP macros: You can display and edit the list using SAP Macros (SAP-XXL List Viewer).

é Excel Pivot table: You can display and edit the list using Excel.

© SAP AG LO930 7-7

SAP AG 1999

(GLWLQJ�D�3&�)LOH�LQ�([FHO

, A� � 3 :��(J 3 � �Material;order val..¶M-01;10000;900¶M-02;20000;1000¶

*UDSKLFV

6WDWLVWLF�IXQFWLRQV6XP$YHUDJH9DULDQFH0LQLPXP0D[LPXP��Material Order

valueInvoicedamount

10,00020,00025,000

10,00019,00026,000

M-01M-02M-03

&DOFXODWHG�NH\�ILJXUHV Difference

0-1,000+1,000

0 ��&�� !�

M-01M-02M-03

2!3 ��

8�� 5 �!�� 10,00020,00025,000

- ��#� �� 5�#KL� � ��10,00019,00026,000

n When a file has been created using the standard analysis and the ’Save to PC file’ function with the’Spreadsheet’ option, a semicolon is used as a field delimiter and a new line is created as a recorddelimiter.

n The file content consists exclusively of the list contents of the saved standard analysis. It is notpossible to transfer several characteristics from one list.

n After you have loaded this file to an Excel worksheet, the complete Excel graphics and statisticsfunctionality is available to you.

© SAP AG LO930 7-8

SAP AG 1999

*UDSKLFV

&DOFXODWHG�NH\�ILJXUHVM ��NPO�Q - �� 5 ��KL� � ��RS�� 5 ��!� � �M ��N)TUQUV4V - ��#��C�� 5 ��KL� � ��R!�� 5 �!��!� � �(WAXY� � 5 ��!�#�� (W#Z7O�[�[J(J�J(J�J�Q\J(J(J�J

;;/��([FHO�'LVSOD\

6WDWLVWLF�IXQFWLRQV� � K� ��!��(]��^ �� 0 C�!@K � K0 � 3 K � KJ@JCJ

0 ��4�!� ��

M-01M-01M-02

_$_7à2�3 �� 5 � E � ��:

8%� 5 �!��#�� 10,00020,00025,000

- ��#� 5�#KL� � ��10,00019,00026,000

. � �!��

100011001000

Advantagesb

All characteristics combinations in onelist

bComplete Excel functionality

bPivot table can be created from display

Disadvantageb

Characteristics combination cannot bechanged

n When an XXL list object is transferred using the function ’Excel Display’, one characteristic or acombination of several characteristics are transferred to an Excel worksheet with the associated keyfigures of the current list.

n You can edit the contents of this Excel worksheet using the complete Excel graphics and statisticsfunctionality.

n However, the sequence of the characteristics is fixed according to their sequence in the transferdialog window. You cannot change it subsequently in Excel. However, you can convert a list createdusing the ’Excel Display’ function into a Pivot table, where you can change the characteristicssequence.

© SAP AG LO930 7-9

SAP AG 1999

;;/��([FHO�6$3�0DFURV

*UDSKLFV 6WDWLVWLF�IXQFWLRQV6WDWLVWLF�IXQFWLRQV� � K� ��&��]��^ �� !��0 C�!CK � K0 � 3 K � KJAJCJ

� � K� ��#]��^ �� 0 C�! K � K0 � 3 K � KJ@JCJ

&DOFXODWHG�NH\�ILJXUHV&DOFXODWHG�NH\�ILJXUHVM ��NUO�Q - ��#�� 5 ��KS� � �(��R\�� 5 ��#�#�� M ��N�T1QLV4V - ��#��C�� 5 �#K\� � ��R!�� 5 �!�� #WcXc�� 5 ��!� � ��W#Z7O�[([J�J(J(J�J�QSJ�J(J(J

M ��NUO)Q - ��#� �� 5 ��KS� � �� RL� � 5 ��!�#�� M ��N�TPQLV4V - �� (� 5 ��KS� � �(��R�� 5 ��#�� WYXc�� 5 �!�!�#�!� � �(W�Z7O*[�[J(J(J�J�J�QSJ�J(J�J

0 �(�&�� !�

M-01

M-02

_F_7`\2�3 ��!�*� � .d0 �(�#�"�#�

8�� 5 �� 10,00020,00025,000

- ��#� 5��KL� � ��10,00019,00026,000

. � ��

100011001000

Advantagesb

All characteristics combinations in onelist

bSequence of characteristics can bechanged

bSeparate columns for calculated keyfigures

Disadvantageb

Characteristics cannot be removed fromthe list

n Another option to transfer data from the standard analysis list to Excel is to use macros. In the SAP-XXL List Viewer, the Excel macro technique is used to generate a separate worksheet with its ownmenu and functions. Some of the standard Excel functionality is not supported in this environment.

© SAP AG LO930 7-10

SAP AG 1999

;;/��([FHO�3LYRW�7DEOH

6WDWLVWLF�IXQFWLRQV� � K� ��#]��^ �� 0 C�! K � K0 � 3 K � KJ@JCJ

&DOFXODWHG�NH\�ILJXUHVM ��NUO)Q - ��#� �� 5 ��KS� � �� RL� � 5 ��!�#�� M ��N�TPQLV4V - �� (� 5 ��KS� � �(��R�� 5 ��#�� WYXc�� 5 �!�!�#�!� � �(W�Z7O*[�[J(J(J�J�J�QSJ�J(J�J

0 �(�&�� !�

M-01

M-02

_F_7`\2�3 ��!� . �!�#��e!�!G!� �

8�� 5 �� 10,00020,00025,000

- ��#� 5��KL� � ��10,00019,00026,000

. � ��

100011001000

Advantagesb

Optional layout designb

Optional combination and sequence ofcharacteristics

bCalculated key figures

bFilter functions

bStatistics functions

bComplete Excel graphics functionality

bDeriving several Pivot tables from theoriginal Pivot table

*UDSKLFV

n As compared to other transfer options, transfer of an XXL list object to Excel as a Pivot tableprovides an optimal range of functions. The main advantages of this option are the free selection ofcharacteristics and their sequence and a large number of easy-to-use options for layout design.

n The most important functions for Pivot tables are shown in the next slides.

© SAP AG LO930 7-11

SAP AG 1999

3LYRW��2SWLRQDO�/D\RXW�'HVLJQ

0 ��&��

M-01

M-02

_F_7`\2�3 ��!� . ��#��e!��G!� �

81� 5 �� 15,00020,00025,000

- �� 5��K\� � ��15,00019,00026,000

0 ��"�

1998/061998/071998/06

Move columnsusing the mouse

0 ��&�� M-01

M-02

_F_7`S2#3 �(�� . �#�#��e'��G!� �6F��&�Order valueInvcd amnOrder valueInvcd amnOrder valueInvcd amn

< �� 15,00015,00020,00019,00025,00026,000

0 ��(��1998/06

1998/07

1998/06

0 ��&�� !�

M-01M-02

_$_f`\2�3 �� . �#��e!��G'� �- ��#� 5��KL� � ��15,00026,000

O*g�g�h�Xc[�i

8�� 5 �!�� 15,00025,000

- ��#� 5�#KL� � ��19,000. . .

O*g�g�h�Xc[�j81� 5 �� 20,000. . .

0 ��&�� M-01M-02

_F_7`\2�3 �� . ��#��e!��G!� �O*g�g�h�XY[�j20,000. . .

8)� 5 ��!�� O*g�g�h�XY[(i

15,00025,000

O�g�g(h�X4[�j19,000. . .

- ��#�� 5 ��KS� � �(�O*g(g(h�XY[(i15,00026,000

n You can design the layout in Pivot tables according to your requirements by simply clicking on acolumn and moving it.

n For example, the following layout options are available:

é List of key figures in individual columns. You can use the mouse to change the arrangement ofkey figures.

é All key figures in one column with the key figures for one characteristics combination.

é Comparison of all key figures for the values of a characteristic.

é Comparison of the characteristic values for the individual key figures.

© SAP AG LO930 7-12

SAP AG 1999

3LYRW��&KDUDFWHULVWLFV�&RPELQDWLRQ�DQG�6HTXHQFH

. �#�#��e��G!� ��kl �� 5 VY��B4��!�+W

, @�� !�

Order value

Month

Material

Invcd amn

&ROXPQ

'DWD5RZ

Month Order value

Invcd amnMaterial

. �#�#��e��G!� ��kl �� 5 V+G(��B�� (W

, @�� !�

Order value

Month

Material

Invcd amn

&ROXPQ

'DWD5RZMonth

Order valueMaterial0 ��&��

M-01

M-02

_F_7`\2�3 �� . �!�#��e!�!G!� �

81� 5 �� 15,00020,00025,000

0 ��"�

1998/061998/071998/06

0 ��"�

1998/06

1998/07

_F_7à2�3 �� . �#�#�'e!��G!� �

8%� 5 �!��#�� 15,00025,00020,000

- �� 5��K\� � �(�15,00026,00019,000

0 ��&�!��

M-01M-02M-01

EHIRUH

DIWHU

n You can interactively change the arrangement of characteristics and key figures using the mouse, oryou can adjust the layout in a dialog box. Here you can move characteristics and key figures from apool to the appropriate position in a planning board or move them from the planning board back tothe pool.

© SAP AG LO930 7-13

SAP AG 1999

3LYRW��&DOFXODWHG�.H\�)LJXUHV

0 ��&��

M-01

M-02

_F_7`\2�3 ��!� . ��#��e!��G!� �

81� 5 �� 15,00020,00025,000

- �� 5��K\� � ��15,00019,00026,000

0 ��"�

1998/061998/071998/06 Right mouse button

.....

.....FormulaField.....

Calculated field.....

- ��#��&�'�� &� 5 B �!� 5Name Diff1Formula = Invoiced amount - order value

> ��&�6$�!� ��

MaterialMonthOrder valueInvcd amount � 5!5 B� �!� 5 8Pm

0 ��&��

M-01

M-02

_$_7`S2#3 �� . ��#�'e!��G!� �

8�� 5 �� 15,00020,00025,000

- ��!� 5��KS� � ��15,00019,00026,000

0 � ��

1998/061998/071998/06

6n B�B�O

0-1,0001,000

n By clicking on the right mouse button, you can go to a dialog window where you can createcalculated fields. Enter a formula name and use the existing data fields and the operators available tocreate a formula.

© SAP AG LO930 7-14

SAP AG 1999

3LYRW��)LOWHU�DQG�6RUW�)XQFWLRQV

bAll characteristic values

bHide characteristic values

bChoose individual characteristicvalues

bFilter key figures byunits

bSort characteristics by values

bSort key figures by values

bFilter by highest or lowest n-values of key figures

)LOWHU�DQGVRUW�IXQFWLRQV

n Pivot tables provide various sort and filter functions:

é You can show or hide characteristics values or define them to display only one of thecharacteristics values at a time.

é You can filter key figures by the highest or lowest n values. For example, only the 10 highestvalues of a key figure are shown for all the characteristic combinations selected.

é You can also filter key figures by units. For example, it is possible to build up a list of materialsthat are managed only as pieces.

é You can always sort characteristics by their values. This also applies to characteristics in a lowerhierarchy level in the table. You can sort key figures by their values. However, sorting by keyfigures is only possible for the characteristic values of the lowest characteristic in thecharacteristics sequence.

© SAP AG LO930 7-15

SAP AG 1999

3LYRW��6WDWLVWLFV�)XQFWLRQV

0 ��&��

M-01

M-02

_F_7`S2#3 �(�� . ��#��e��G!� �

81� 5 �� 15,00020,00025,000

0 ��(��

1998/061998/071998/06

. �#��e!��G�� )ko ��!� 5

, @�! �!�Order value

Month

Material&ROXPQ

'DWD5RZMonth

Sum oforder value

Material

Average/Order value

. �#��e!�!G�� , �� 50DWHULDOAutomaticCustomNone

8Pm

SumNumberAverageMaximumMinimum....

0 ��&��

M-01

SumAverageM-02SumAverageTotal

_$_=à2#3 �� . �#�#�'e!��G!� �� K�� 5 �!�!�� 15,00020,00035,000 8,75025,00025,00012,50060,000

0 � ��

1998/061998/07

1998/06

� �#��#]�� 5 ��#�� 7,50010,00035,000 8,75012,50025,00012,50020,000

'RXEOH�FOLFN

n In addition to calculating formulas, Pivot tables provide other statistical functions in lists.

n You can define the contents of result lines for a characteristic in a dialog window by double-clickingon the associated field. Result lines of characteristics may contain sums, averages, number,maximum, minimum, standard deviations and other statistical calculations.

n For key figures you can list the totals of all the data relating to a characteristic combination and usethe statistics functions already mentioned. For example, it is possible to calculate the average of alldata rows for a key figure.

© SAP AG LO930 7-16

SAP AG 1999

3LYRW��*UDSKLFV

*UDSKLFV�W\SHV

Column

Bar

Line

Pie

XY (Scatter)

Area

Doughnut

Radar

Surface

Bubble

Stock

0 ��"�

1998/071998/081998/09

_$_=à2#3 �� . �#�#�'e!��G!� �

81� 5 �� 15,00025,00020,000

- ��#�� (� 5�#KL� � ��15,00024,00021,000

0

10000

20000

30000

1998/07 1998/08 1998/09

25%33%

42%

1998/07

1998/08

1999/09

n To create graphics for the contents of Pivot tables, you can use the standard Excel graphics tools.

n When you select an area within a Pivot table and click on the graphics icon, a dialog windowappears. System prompts will then help you to create the graphic.

© SAP AG LO930 7-17

SAP AG 1999

3LYRW��&UHDWLQJ�3LYRW�7DEOHV�IURP�D�3LYRW�7DEOH

. �!�#��e��G!� �%kl ��!� 5Excel database or listExternal data sourceConsolidation areasOther Pivot table

, A�! ��

. ��#�'e!��G!� ��ko �*�!� 5

, A�! �!�

Order value

Month

Material

Invcd amn

&ROXPQ

'DWD5RZ

Month Order value

Invcd amn

_$_7à2�3 �� . �#�#�'e!��G!� �1T

8%� 5 ��#�� 40,00020,000

- ��!� 5��KS� � ��41,00019,000

0 � ��

1998/061998/07

0 ��&��

M-01

M-02

_$_f`\2#3 �� . ��e!��G��

8�� 5 �� 15,00020,00025,000

- ��!� 5��KS� � �(�15,00019,00026,000

0 � ��

1998/061998/071998/06

.....Pivot Tab.Externaldata.....

'DWD

n If you want to see the data in a Pivot table in another layout and sequence of characteristics and keyfigures, but still want to keep your current table, you can generate other Pivot tables on the basis ofthe original one. This enables you to view the same set of data from two or more perspectives.

© SAP AG LO930 7-18

SAP AG 1999

7UDQVIHU�WR�([FHO�IURP�)OH[LEOH�$QDO\VLV2 �� p < ��

> �+��&� 5 G�: J �/Kq ��> �(�!��(��&�� (� ��Z�Z 0 ��!�� Z 0 RY[�O

[�r�JAO*g(g(h[(s�JAO*g(g(h[(i�JAO*g(g(h

Z 0 RY[�T

8%� 5 ��#�!� � �O�JAO*[([�J [�[�[s�[([�J [�[�[O*[([�J [�[�[O*h([�J [�[�[T�T([�J [�[�[r�[([�J [�[�[

0 ��&�� 0 RY[!O04.199805.199806.19980 RY[(T

2!3 ��!�I�&��JC� E N8%� 5 ��#�#�� 1.100.000 500.000 100.000 180.000 220.000 400.000

e ��U�(��K E � �� 2!3 ��B � ��" � �(��C �Y:q ��@� ��G!� �

2�3'E ��&�� E �+��!��&�� 1��!�4��

> ��B ] � ��%� 3�E ��!�+� 0 � 2�3 ��!�

Open fileParameters for applicationExport only

Program

File name c:\partest.rpw

Word processingHTML format

DBASE formatWK1 format

SpreadsheetExcel

` �!�(��IB�C� � � E!E �C �� P�(��&��

n You can also transfer data from flexible analyses to Excel. The data is transferred in Report Writerformat (RPW file). The full standard functionality is available to you in Excel.

n After the data has been transferred to Excel, you can hide or show characteristics at all hierarchylevels. You cannot change the sequence of characteristics after the transfer. However, it is possible tochange the sequence of key figure columns.

© SAP AG LO930 7-19

SAP AG 1999

/,6�(QYLURQPHQW��8QLW�6XPPDU\

l 'LVSOD\�DQG�SURFHVV�/,6�GDWD�LQ�([FHO�IRUPDW<RX�DUH�QRZ�DEOH�WR�

© SAP AG LO930 7-20

([HUFLVHV

8QLW��/,6�(QYLURQPHQW7RSLF��6WDQGDUG�$QDO\VLV�'DWD�LQ�([FHO7RSLF��5HSRUWLQJ�'DWD�LQ�([FHO

• Display and process LIS data in Excel format.

• Management would like to view statistical overviews in Excel format,as this is their usual business practice.

Please note that the following exercises and solutions refer to a MS Excel97 version.

If you already use a MS Excel 2000 version the following exercises andsolution paths can still be used. You just have to execute an additionalstep using the PivotTable Wizard:

3LYRW7DEOH�→�:L]DUG�→�>/D\RXW@

1-1 Execute a standard analysis for Vendors ��WR �� in Purchasing organization�� for the past year. Use the key figures 2UGHU�YDOXH, ,QYRLFHG�DPRXQW and 2UGHUTXDQWLW\.

1-2 Transfer the data to EXCEL as PIVOT Table. Select all characteristics except for&RXQWU\. Save data in EXCEL, as Group##.

© SAP AG LO930 7-21

1-3 Move the columns and rows within your EXCEL spreadsheet.

1-3-1 Change the position of the 'DWD key figures from columns to rows, so thatthe key figures are shown against each month in rows. Afterwards, move thekey figures back into columns.

1-3-2 Change the position of the characteristics 0RQWK from row to columns, sothat the key figures are shown against each month in columns. This issimilar to &RPSDULVRQ�RI�.H\�)LJXUHV�SHU�&KDUDFWHULVWLF in flexibleanalysis.

1-3-3 Change the position of the 'DWD key figures so that the each key figure isdisplayed per month. This is similar to &ROXPQ�&RPSDULVRQ�RI&KDUDFWHULVWLF�SHU .H\�)LJXUH�in flexible analysis. Afterwards, move thecharacteristic 0RQWK�back to the row.

1-4 An alternative method to moving columns and rows is to use the 3LYRW�7DEOH:L]DUG.

Select the toolbar 3LYRW�7DEOH��If the toolbar is not visible, use menupath 9LHZ�→�7RROEDUV. Select Pivot Table.

Then use 3LYRW�7DEOH�→�:L]DUG, or use the Wizard icon.

The wizard displays step 3 of 4. You can now work in this 3LYRW7DEOH�:L]DUG window.

The diagram consists of:

The first column is the 3DJH.

The second column is the 5RZ�The third column is the 'DWD.

The right-hand side of the diagram is the unused area -Characteristics and Key Figures.

1-4-1 Using the 3LYRW�7DEOH�:L]DUG� move 3ODQW�onto the 3DJH.

1-4-2 Change the sequence in the 5RZ�to 0DWHULDO, 9HQGRU, and 0RQWK. Remove3XUFKDVLQJ�RUJDQL]DWLRQ and 0DWHULDO�JURXS.

1-4-3 Change the sequence in the 'DWD� The first key figure should be 6XP�RI�32TXDQWLW\��This is the original key figure 2UGHU�TXDQWLW\�

© SAP AG LO930 7-22

1-5 You now require a new calculated key figure 2XWVWDQGLQJ�,QYRLFH�9DOXH.

1-5-1 Create a new field calculated on the basis of ,QYRLFHG�$PRXQW��2UGHU9DOXH�

Exit the 3LYRW�7DEOH�:L]DUG. To return to the standard spreadsheetlayout, select )LQLVK�

1-5-2 Using the 3LYRW�7DEOH�:L]DUG, remove all key figures EXCEPT, 6XP�RI2UGHU�9DOXH��6XP�RI�,QYRLFHG�$PRXQW�and�6XP�RI�2XWVWDQGLQJ�,QYRLFH9DOXH.

© SAP AG LO930 7-23

1-6 You need to filter and sort the data, for example, if you want to see only the data fora particular characteristic, or require the top number of materials.

Exit the 3LYRW�7DEOH�:L]DUG. Return to the standard spreadsheetlayout.

1-6-1 You want to see the data only for Plant +DPEXUJ. Include this plant in thekey figure selection.

1-6-2 You want to see the data for Plants +DPEXUJ�and�%HUOLQ�

1-6-3 Display only these plants in rows, before Material.

1-6-4 Select materials based on unit of measure 3&. Base this on the key figure3XUFKDVH�2UGHU�4XDQWLW\��

1-6-5 You are interested in the 5 highest order values of materials for each vendor.Afterwards, cancel the filter.

To have a clearer picture, increase the column width of the Material.

Additionally, remove the characteristic 0RQWK�Just click and drag 0RQWK outside the range of the spreadsheet. Thiswill remove it to the unused area of the 3LYRW�7DEOH�:L]DUG.

1-6-6 Sort the vendors by order value. Afterwards, cancel the sort.

To have a clearer picture, remove the characteristics 3ODQW�and0DWHULDO�Just click and drag 3ODQW and 0DWHULDO outside the range of thespreadsheet. This will remove them to the unused area of the 3LYRW7DEOH�:L]DUG.

© SAP AG LO930 7-24

1-7 You would now like to see a report with the following layout:

Material (All)

Total order value

Month Total

1997/04 1245722.77

1997/05 2476832.98

1997/06 1110773.91

1997/07 2924277.69

1997/08 112797021.2

1997/09 19763403.65

1997/10 2521296.12

1997/11 2853055.26

1997/12 2512750

1998/01 1468513.31

1998/02 1158577.7

1998/03 0.29

1998/04 1577862.38

Grand total 152410087.2

1-7-1 Construct the layout.

Use the 3LYRW�7DEOH�:L]DUG�to easily manipulate your layout.

1-7-2 Display a 3-D Column graphical representation of this report.

1-7-3 The previous graphic showed the totals for all materials. Select one materialand display this graphically.

1-7-4 Change the text for the graphic, to read the specific material text. Show thelegend and the data table.

© SAP AG LO930 7-25

6ROXWLRQV

8QLW��/,6�(QYLURQPHQW7RSLF��6WDQGDUG�$QDO\VLV�'DWD�LQ�([FHO7RSLF��5HSRUWLQJ�'DWD�LQ�([FHO

Please note that the following exercises and solutions refer to a MS Excel97 version.

If you already use a MS Excel 2000 version the following exercises andsolution paths can still be used. You just have to execute an additionalstep using the PivotTable Wizard:

3LYRW7DEOH�→�:L]DUG�→�>/D\RXW@

1-1 Execute a standard analysis for Vendors ��WR �� in Purchasing organization�� for the past year. Use the key figures 2UGHU�YDOXH, ,QYRLFHG�DPRXQW and 2UGHUTXDQWLW\.

)URP�WKH�ILUVW�5��PHQX��FKRRVH�/RJLVWLFV�→�/RJLVWLFV�&RQWUROOLQJ�→�3XUFKDVLQJ�,QIRUPDWLRQ�6\VWHP6WDQGDUG�DQDO\VHV�→�9HQGRU(QWHU�WKH�3XUFKDVLQJ�RUJDQL]DWLRQ��9HQGRUV��WR��DQG�WKH�SHULRG�WRDQDO\]H�VKRXOG�EH�RQH�\HDU��>([HFXWH@�7KH�NH\�ILJXUHV�2UGHU�YDOXH��,QYRLFHG�DPRXQW��DQG�2UGHU�TXDQWLW\�VKRXOG�GHIDXOWDXWRPDWLFDOO\�

1-2 Transfer the data to EXCEL as PIVOT Table. Select all characteristics except for&RXQWU\. Save data in EXCEL, as Group##.

9HQGRU�DQDO\VLV�→�([SRUW�→�7UDQVIHU�WR�;;/�'HVHOHFW�&W\��&RXQWU\�&KRRVH�>(QWHU@�6HOHFW�SURFHVVLQJ�PRGH��([FHO�SLYRW�WDEOH��&KRRVH�)LOH�→�6DYH�DV�*5283��

© SAP AG LO930 7-26

1-3 Move the columns and rows within your EXCEL spreadsheet.

1-3-1 Change the position of the 'DWD key figures from columns to rows, so thatthe key figures are shown against each month in rows. Afterwards, move thekey figures back into columns.

&OLFN�DQG�GUDJ�>'DWD@�WR�XQGHU�>0RQWK@�7R�UHWXUQ�WR�WKH�RULJLQDO�SRVLWLRQ��PRYH�>'DWD@�DERYH�>7RWDO@�

1-3-2 Change the position of the characteristics 0RQWK from row to columns, sothat the key figures are shown against each month in columns. This issimilar to &RPSDULVRQ�RI�.H\�)LJXUHV�SHU�&KDUDFWHULVWLF in flexibleanalysis.

&OLFN�DQG�GUDJ�>0RQWK@�WR�LQ�IURQW�RI�>'DWD@�1-3-3 Change the position of the 'DWD key figures so that the each key figure is

displayed per month. This is similar to &ROXPQ�&RPSDULVRQ�RI&KDUDFWHULVWLF�SHU .H\�)LJXUH�in flexible analysis. Afterwards, move thecharacteristic 0RQWK�back to the row.

&OLFN�DQG�GUDJ�>'DWD@�DQG�PRYH�LW�WR�LQ�IURQW�RI�>0RQWK@�7R�UHWXUQ��PRYH�>0RQWK@�XQGHU�>0DWHULDO�JURXS@�

1-4 An alternative method to moving columns and rows is to use the 3LYRW�7DEOH:L]DUG.

Select the toolbar 3LYRW�7DEOH��If the toolbar is not visible, use menupath 9LHZ�→�7RROEDUV. Select Pivot Table.

Then use 3LYRW�7DEOH�→�:L]DUG, or use the Wizard icon.

The wizard displays step 3 of 4. You can now work in this 3LYRW7DEOH�:L]DUG window.

The diagram consists of:

The first column is the 3DJH.

The second column is the 5RZ�The third column is the 'DWD.

The right-hand side of the diagram is the unused area -Characteristics and Key Figures.

1-4-1 Using the 3LYRW�7DEOH�:L]DUG� move 3ODQW�onto the 3DJH.

&OLFN�DQG�GUDJ�>3ODQW@�WR�3DJH�3UHVV�>)LQLVK@�WR�VHH�WKH�UHVXOW�

© SAP AG LO930 7-27

1-4-2 Change the sequence in the 5RZ�to 0DWHULDO, 9HQGRU, and 0RQWK. Remove3XUFKDVLQJ�RUJDQL]DWLRQ and 0DWHULDO�JURXS.

&OLFN�DQG�GUDJ�>3XUFKDVLQJ�RUJDQL]DWLRQ@�WR�WKH�XQXVHG�DUHD�&OLFN�DQG�GUDJ�>0DWHULDO�*URXS@�WR�WKH�XQXVHG�DUHD�&OLFN�DQG�GUDJ�WKH�RWKHU�FKDUDFWHULVWLFV�LQWR�WKH�FRUUHFW�RUGHU�

1-4-3 Change the sequence in the 'DWD� The first key figure should be 6XP�RI�32TXDQWLW\��This is the original key figure 2UGHU�TXDQWLW\�&OLFN�DQG�GUDJ�>6XP�RI�32�TW\@�LQWR�WKH�ILUVW�SRVLWLRQ�

1-5 You now require a new calculated key figure 2XWVWDQGLQJ�,QYRLFHG�$PRXQW.1-5-1 Create a new field calculated on the basis of ,QYRLFHG�$PRXQW��2UGHU

9DOXH�

Exit the 3LYRW�7DEOH�:L]DUG. To return to the standard spreadsheetlayout, select )LQLVK�

6HOHFW�DQ�H[LVWLQJ�NH\�ILJXUH�&OLFN�WKH�ULJKW�KDQG�PRXVH�EXWWRQ�6HOHFW�WKH�,QVHUW�RSWLRQ�,Q�WKH��,QVHUW�&DOFXODWHG�)LHOG��ZLQGRZ��VSHFLI\�WKH�QDPH�RI�WKH�QHZ�NH\ILJXUH�QDPH��2XWVWDQGLQJ�,QYRLFHG�$PRXQW��3ODFH�WKH�FXUVRU�LQ�WKH�IRUPXOD�ILHOG�7KH�V\VWHP�DXWRPDWLFDOO\�IRUPDWV�WKH�ILHOG�FRUUHFWO\��+RZHYHU��\RX�PXVWUHPRYH�WKH�GHIDXOWHG�µ�¶�6FUROO�GRZQ�WKH�OLVW�RI�ILHOGV�'RXEOH�FOLFN�WR�VHOHFW�,QYRLFHG�DPRXQW�(QWHU�D�PLQXV�VLJQ�LQ�WKH�IRUPXOD�ILHOG�5HSHDW�WKLV�IRU�WKH�RWKHU�NH\�ILJXUH��'RXEOH�FOLFN�WR�VHOHFW�2UGHU�YDOXH�(QVXUH�WKH�IRUPXOD�UHDGV� �,QYFG�DPQW��2UGHU�YDO��6HOHFW�>$GG@�DQG�WKHQ�>2.@�

© SAP AG LO930 7-28

1-5-2 Using the 3LYRW�7DEOH�:L]DUG, remove all key figures EXCEPT, 6XP�RI2UGHU�9DOXH��6XP�RI�,QYRLFHG�$PRXQW�and�6XP�RI�2XWVWDQGLQJ�,QYRLFHG$PRXQW.&OLFN�DQG�GUDJ�WKH�NH\�ILJXUHV�QRW�UHTXLUHG��'URS�LQWR�WKH�XQXVHG�DUHD�&OLFN�DQG�GUDJ�WKH�RWKHU�NH\�ILJXUHV�LQWR�WKH�FRUUHFW�VHTXHQFH�3UHVV�>)LQLVK@�WR�VHH�WKH�UHVXOW�

1-6 You need to filter and sort the data, for example, if you want to see only the data fora particular characteristic, or require the top number of materials.

Exit from the 3LYRW�7DEOH�:L]DUG. Return to the standard spreadsheetlayout.

1-6-1 You want to see the data only for Plant +DPEXUJ. Include this plant in thekey figure selection.

,Q�WKH�ILHOG�DGMDFHQW�WR�3ODQW��\RX�ZLOO�VHH��$OO��6HOHFW�WKH�GRZQZDUGDUURZ�LQ�WKLV�FROXPQ�WR�YLHZ�DOO�SRVVLEOH�SODQWV�6HOHFW�+DPEXUJ�'HVHOHFW�+DPEXUJ

1-6-2 You want to see the data for Plants +DPEXUJ�and�%HUOLQ�'RXEOH�FOLFN�WKH�FKDUDFWHULVWLF�3ODQW�,Q�WKH��3LYRW�7DEOH�)LHOG��ZLQGRZ��FOLFN�WKH�3ODQW�V��QRW�UHTXLUHG�WR�KLGHWKHP��3UHVV�>2.@�

Note that this results display will make no reference to the hiddencharacteristic values!

1-6-3 Display only these plants in rows, before Material.

&OLFN�DQG�GUDJ�>3ODQW@�WR�EHIRUH�0DWHULDO1-6-4 Select materials based on unit of measure 3&. Base this on the key figure

3XUFKDVH�2UGHU�4XDQWLW\��8VH�WKH�3LYRW�7DEOH�:L]DUG�WR�GUDJ�WKH�>32�TW\�@�ILHOG�WR�WKH�>3DJH@FROXPQ��&KRRVH�)LQLVK�WR�GLVSOD\�WKH�UHVXOWV�,Q�WKH�ILHOG�DGMDFHQW�WR�>32�TW\�@��\RX�ZLOO�VHH��$OO��6HOHFW�WKH�GRZQZDUGDUURZ�LQ�WKLV�FROXPQ�WR�YLHZ�DOO�SRVVLEOH�XQLWV�RI�PHDVXUH�6HOHFW�3&�

© SAP AG LO930 7-29

1-6-5 You are interested in the 5 highest order values of materials for each vendor.Afterwards, cancel the filter.

To have a clearer picture, increase the column width of the Material.

Additionally, remove the characteristic 0RQWK�Just click and drag 0RQWK outside the range of the spreadsheet. Thiswill remove it to the unused area of the 3LYRW�7DEOH�:L]DUG.

'RXEOH�FOLFN�WKH�FKDUDFWHULVWLF�0DWHULDO��$�GLDORJ�ER[�ZLOO�DSSHDU�6HOHFW�>$GYDQFHG@�,Q�WKH�$XWR6KRZ�RSWLRQV��VHOHFW�>$XWRPDWLF@�DQG�VKRZ�7RS��3UHVV�>2.@�WZLFH��WR�UHWXUQ�WR�WKH�VSUHDGVKHHW�7KH�FKDUDFWHULVWLF�>0DWHULDO@�LV�QRZ�VKRZQ�LQ�EOXH�WR�LQGLFDWH�VRUW�7R�UHPRYH�WKH�ILOWHU��GRXEOH�FOLFN�WKH�FKDUDFWHULVWLF�>0DWHULDO@�6HOHFW�>$GYDQFHG@��,Q�WKH�$XWR6KRZ�RSWLRQV��VHOHFW�>0DQXDO@�3UHVV�>2.@�WZLFH��WR�UHWXUQ�WR�WKH�VSUHDGVKHHW�

1-6-6 Sort the vendors by order value. Afterwards, cancel the sort.

To have a clearer picture, remove the characteristics 3ODQW�and0DWHULDO�Just click and drag 3ODQW and 0DWHULDO outside the range of thespreadsheet. This will remove them to the unused area of the 3LYRW7DEOH�:L]DUG.

'RXEOH�FOLFN�WKH�FKDUDFWHULVWLF�>9HQGRU@��$�GLDORJ�ER[�ZLOO�DSSHDU�6HOHFW�>$GYDQFHG@�,Q�WKH��$XWR6RUW��RSWLRQV��VHOHFW�>$VFHQGLQJ@�&KDQJH�µ8VLQJ�ILHOG¶�WR�µ6XP�RI�2UGHU�YDO¶�3UHVV�>2.@�WZLFH��WR�UHWXUQ�WR�WKH�VSUHDGVKHHW�7R�UHPRYH�WKH�VRUW��GRXEOH�FOLFN�WKH�FKDUDFWHULVWLF�>9HQGRU@�6HOHFW�>$GYDQFHG@��,Q�WKH��$XWR6RUW��RSWLRQV��VHOHFW�>0DQXDO@�3UHVV�>2.@�WZLFH��WR�UHWXUQ�WR�WKH�VSUHDGVKHHW�

© SAP AG LO930 7-30

1-7 You would now like to see a report with the following layout:

Material (All)

Total order value

Month Total

1997.04 1245722,77

1997.05 2476832,98

1997.06 1110773,91

1997.07 2924277,69

1997.08 112797021,2

1997.09 19763403,65

1997.10 2521296,12

1997.11 2853055,26

1997.12 2512750

1998.01 1468513,31

1998.02 1158577,7

1998.03 0,29

1998.04 1577862,38

Grand total 152410087,2

1-7-1 Construct the layout.

Use the 3LYRW�7DEOH�:L]DUG�to easily manipulate your layout.

)RU�HDVH��PRYH�DOO�FKDUDFWHULVWLFV�DQG�NH\�ILJXUHV�WR�WKH�XQXVHG�DUHD�0RYH�>0DWHULDO@�WR�>3DJH@�0RYH�>0RQWK@�WR�>5RZ@�0RYH�>2UGHU�YDOXH@�WR�>'DWD@�3UHVV�>)LQLVK@�WR�VHH�WKH�UHVXOW�

© SAP AG LO930 7-31

1-7-2 Display a 3-D Column graphical representation of this report.

6HOHFW�WKH�FKDUDFWHULVWLFV�RI�DOO�PRQWKV�DQG�WKH�GDWD�IRU�WKH�NH\�ILJXUH>6XP�RI�2UGHU�9DOXH@�&KRRVH�,QVHUW�→�&KDUW��RU�FOLFN�&KDUW�:L]DUG�6HOHFW�D��'�&ROXPQ��3UHVV�>)LQLVK@�WR�VHH�WKH�UHVXOW�

1-7-3 The previous graphic showed the totals for all materials. Select one materialand display this graphically.

,Q�WKH�ILHOG�DGMDFHQW�WR�>0DWHULDO@��\RX�ZLOO�VHH��$OO��6HOHFW�WKH�GRZQZDUGDUURZ�LQ�WKLV�FROXPQ�WR�YLHZ�DOO�SRVVLEOH�PDWHULDOV�6HOHFW�D�PDWHULDO�

1-7-4 Change the text for the graphic, to read the specific material text. Show thelegend and the data table.

&OLFN�WKH�HGJH�RI�WKH�JUDSK�RXWOLQH��8VLQJ�WKH�ULJKW�KDQG�PRXVH�EXWWRQ�VHOHFW�>6RXUFH�'DWD@�6HOHFW�WKH�>6HULHV@�WDE�,Q�WKH��1DPH��ILHOG��HQWHU�WKH�IROORZLQJ�YDOXHV��LQ�D�FRQWLQXRXV�VWULQJ�(TXDO�VLJQ1DPH�RI�VKHHW([FODPDWLRQ�PDUN&HOO�QXPEHU�ZKLFK�FRQWDLQV�WKH�PDWHULDO�WH[W�)RU�H[DPSOH�� 6KHHW��%�3UHVV�>2.@�7KH�QDPH�RI�WKH�PDWHULDO�VKRXOG�QRZ�DSSHDU�LQ�WKH�WLWOH�RI�WKH�OHJHQG�,I�\RX�VHOHFW�DQRWKHU�PDWHULDO��WKH�JUDSKLF�DQG�WKH�OHJHQG�WLWOH�ZLOOFKDQJH�&OLFN�WKH�HGJH�RI�WKH�JUDSK�RXWOLQH��8VLQJ�WKH�ULJKW�KDQG�PRXVH�EXWWRQ�VHOHFW�&KDUW�2SWLRQV�6HOHFW�WKH�>'DWD�7DEOH@��6HOHFW�6KRZ�>'DWD�7DEOH@�3UHVV�>2.@�

© SAP AG LO930 8-1

SAP AG 1999


)OH[LEOH�DQDO\VLV

�6WDQGDUG�DQDO\VLV�6WDQGDUG�DQDO\VLV



•��

• �� • � �� !�� •�"�� #� �$�!��%#� ��

• �&� �� ' ��' � ��• � ��(�%� �!�% ��

)�*+,+-.-/%0 �1��

2 ��(� �43

6XPPDU\

© SAP AG LO930 8-2

SAP AG 1999

&RXUVH�2EMHFWLYHV


l 8VH�UHSRUWLQJ�IXQFWLRQV�DQG�UHSRUWLQJ�WRROVDYDLODEOH�LQ�/,6�

l $SSO\�WKH�FRPPRQ�/,6�IXQFWLRQV�l $FFHVV��H[HFXWH�DQG�QDYLJDWH�VWDQGDUG

DQDO\VLV�OLVWV�l 8VH�IOH[LEOH�DQDO\VHV�DV�DQ�DGGLWLRQDO�PHDQV

RI�DFTXLULQJ�LQIRUPDWLRQ�LQ�/,6�l 8VH�WKH�RQOLQH�GRFXPHQWDWLRQ�WR�DQVZHU

TXHVWLRQV�

© SAP AG LO930 8-3

SAP AG 1999

l /2��7HFKQLFDO�$VSHFWV�LQ�/,6�ZLWK�6SHFLDO�)RFXV�RQ�33,6l /2��7HFKQLFDO�$VSHFWV�LQ�/,6�ZLWK�6SHFLDO�)RFXV�RQ�385&+,6�,19&2l /2��7HFKQLFDO�$VSHFWV�LQ�/,6�ZLWK�6SHFLDO�)RFXV�RQ�6,6l $OO�WKHVH�FRXUVHV�FRYHU�

5 Technical aspects of information structures5 Using the update log5 Effect of business transactions on updating5 Defining information structures - detailed steps5 Adding new characteristic and key figure fields to the communication structure5 Field catalogs5 Update definition5 Special updating scenarios in the applications5 Setting up statistical data

5HFRPPHQGHG�)ROORZ�XS�&RXUVHV�,

n 1RWH�These courses deal with technical details relating to functional system aspects. We thereforerecommend that a technical expert and one person from the user department attend the course.Technical details that require more complex configurations are discussed in a separate two-daycourse - /2��$GYDQFHG�/,6�&RQILJXUDWLRQ.

n 3UHUHTXLVLWHV:Essential:

é LO930 Logistics Information System (LIS) - Reporting

é LO020 Processes in Procurement or

é LO150 Processes in Sales and Distribution or

é LO275 Technical Aspects in LIS with Special Focus on PPIS

5HFRPPHQGHG�é Basic knowledge of the ABAP Dictionary

© SAP AG LO930 8-4

SAP AG 1999

l /2��)OH[LEOH�3ODQQLQJ5 Planning in the Logistics Information System5 Sales and Operations Planning5 Flexible planning methods5 Planning hierarchies and proportional factors5 Product group planning5 Planning types and macros5 Using the planning table (including aggregation, disaggregation, and automatic

forecasting)5 Resource planning5 Event planning5 Mass planning5 Rough-cut capacity planning5 Interface between CO-PA and LIS

5HFRPPHQGHG�)ROORZ�XS�&RXUVHV�,,

n 3UHUHTXLVLWHV: LO930 Logistics Information System (LIS) - Reporting

© SAP AG LO930 8-5

SAP AG 2001

l /2��$GYDQFHG�/,6�&RQILJXUDWLRQ6 Functional Enhancements in LIS

7 Enhancement of Communication Structures while Updating7 Enhanced Authorization Check in Standard Analyses7 Methods for Data- and List Enhancement in Standard Analyses

6 LIS Inbound Interface7 Creating individual Information Structures in LIS (DDIC structures/ IDOC)7 Importing data from external sources

6 Copy Management7 Simple and complex7 Using scenarios

6 Special features of transportation objects in LIS

5HFRPPHQGHG�)ROORZ�XS�&RXUVHV�,,,

n 1RWH�Participants should be familiar with the technical LIS aspects and have hands-on experience withCustomizing for LIS.

n 3UHUHTXLVLWHV(VVHQWLDO�é LO275 Technical Aspects in LIS with Special Focus on PPIS or

é LO555 Technical Aspects in LIS with Special Focus on PURCHIS/INVCO

é LO630 Technical Aspects in LIS with Special Focus on SIS

5HFRPPHQGHG�é Basic knowledge in ABAP programming and ABAP Dictionary

© SAP AG LO930 8-6

SAP AG 1999

5HFRPPHQGHG�)ROORZ�XS�$FWLYLWLHV

l 5HSHDW�WKH�H[HUFLVHV�XVLQJ�,'(6�GDWD�RU�\RXU�RZQ�GDWDl 5HDG�WKH�RQOLQH�GRFXPHQWDWLRQl 5HDG�WKH�,0*�GRFXPHQWDWLRQl 5HDG�WKH�UHOHDVH�QRWHV

Documents

LO930 Logistics Information System (LIS) - Reporting