SAP BusinessObjectsTM Information Management …...– Periodically refresh existing accounts’ address data Identify potential duplicates as a back-office process via Batch Matching

SAP® BusinessObjectsTM InformationManagement Solutions

Added Value and Integration Roadmap within SAPdeployments

SAP BusinessObjects

© SAP 2009 / Page 2

Disclaimer

This presentation outlines our general product direction and should not berelied on in making a purchase decision. This presentation is not subject to

your license agreement or any other agreement with SAP. SAP has noobligation to pursue any course of business outlined in this presentation or to

develop or release any functionality mentioned in this presentation. Thispresentation and SAP's strategy and possible future developments are

subject to change and may be changed by SAP at any time for any reasonwithout notice. This document is provided without a warranty of any kind,

either express or implied, including but not limited to, the implied warrantiesof merchantability, fitness for a particular purpose, or non-infringement. SAPassumes no responsibility for errors or omissions in this document, except if

such damages were caused by SAP intentionally or grossly negligent.

© SAP 2009 / Page 3

1. Key trends and issues2. SAP solution overview3. Summary and Roadmap Highlights

Agenda

© SAP 2009 / Page 4

Key Trends in Managing & DeliveringInformation

Operational Efficiencies Continue to DriveCost Down

Increased awareness on issues surrounding lackof data governance, quality and migrationStrategic focus on application consolidation(move to reduced number or single instance)

Insight into corporate information is top ofmind for CIOs

Business intelligence recognized as top priorityfor most organizationsHigher performing organizations leveragecorporate information for competitive advantage

Increased M&A activitiesRecognize need for rapid data consolidation anddata de-duplication360 degree view of business activities across theenterprise essential for success

© SAP 2009 / Page 5

Results of Poorly Managed DataNegative Impact on Businesses in All Industries

“40% of orders blocked due to master data problems”. EMEAHigh Tech

90% of upper level management feel they don’t have thenecessary information for critical business decisions; 56% ofthem are afraid they are making poor decision because of it.Economist survey 2007

Higher performing companies are 50% more likely to useanalytical information strategically. Competing on Analytics,Thomas Davenport

Business intelligence is the top technology priority for CIOsfor the last 4 years. Meeting the Challenge: The 2009 CIO Agenda,January 2009, Gartner

Lost productivity is the No.1 impact on companies that do nothave adequate access to information. Economist survey 2007

“Through 2010, Global 1000 enterprises will incur more costs,due to poor-quality data, than the benefits they will gain fromimplementations of customer relationship management,enterprise risk management and business intelligenceapplications.” Key Issues for Data Management and IntegrationInitiatives 2009, Gartner

© SAP 2009 / Page 6

The Information Problem Is Getting WorseIT departments are drowning in complexity

Expensive

Inflexible Incomplete

Non-compliant

Out of context

© SAP 2009 / Page 7

What Does this Mean for Your Business?How Does this Impact IT?

Top issues

How do I govern and manage data whilereducing the costs and complexity ofmanaging multiple data silos?

How do I ensure information in enterpriseapplications is supporting agile operations,streamlined processes, and outstandingcustomer service?

How do I empower business users to makebetter, faster decisions based on completeand accurate information?

How do I implement and enforce policybased data management to ensurecompliance and governance?

© SAP 2009 / Page 8

SAP & BusinessObjects InformationManagement Solutions

Structured Data Unstructured Data

ERP DW RDBMS OLAP Email Docs Notes Web

Data Integration & Federation

Data Quality

Master Data Management

Information Lifecycle Mgmt

Metadata Management

Text Analytics

CDI for CustomerAnalytics (*) Data Migration

CO

RE

SOLN

S

BusinessIntelligence & DWH

Applications

PerformanceManagement Business Suite Composites

INFORMATION MANAGEMENT

Embedded DQ forSAP, SEBL, INFA Rapid Marts

Gov

erna

nce

(*)

(*) Roadmap Topic

© SAP 2009 / Page 9

Added Value of SAP BusinessObjectsInformation Management for SAP Deployments

Accelerate speed andreduce risk of a

Business Suite, CRMor ERP

implementation

Protect against poordata harming

process efficiencywithin the Business

Suite

Improving decisionquality in your data

warehouse

Govern your masterdata enterprise-wide

© SAP 2009 / Page 10


Agenda

© SAP 2009 / Page 11

Added Value of SAP BusinessObjectsInformation Management for SAP Customers



implementation



Suite


warehouse


© SAP 2009 / Page 12

LegacySystems

SAPERPWe know SAP and we

know how to get there.

SAP®DATA MIGRATION

SERVICES1

ANALYSIS

2

EXTRACT

3

CLEAN

5

LOAD

6

RECONCILEVALIDATE

4

Data Migration done by SAP gives You what You need: A Solution You can Trust.Standardized and Proven Approach for Best Practice End-to-End Data Migration

SAP Data Migration Services consist of aframework, templates, methodology, toolsand expertise to analyse, extract, cleanse, validate,upload and reconcile legacy data into a SAP ERP environment.

Built out of the unique expertise of two great companies: SAP and Business Objects.

SAP Data Migration Services provide a mature information managementinfrastructure and enables data governance best practices that live on after theproject.

A Complete Offeringfor Data Migration

Proven ExpertiseStandardized ApproachDelivered by SAP

Increase Speed and Reduce Risk of your SAPERP implementation

© SAP 2009 / Page 13




implementation



Suite


warehouse


© SAP 2009 / Page 14

Added Value of Using Data Quality within SAPBusiness Suite

Customers need to ensure highproductivity for users working

with the Business Suite

Data Quality provides error tolerant search for entityselection based on partial information during datamaintenance

Customers want to prevent baddata from entering their systems,

at the source

Data Quality supports cleansing, enrichment and recordmatching during data entry on the Business SuiteBusiness rules are checked before records are committed

Customers require ongoing andcomprehensive cleansing of their

data

Data Quality enables periodic cleanse, match andconsolidate of the data in the Business SuiteIdentify hidden, incomplete entries are and update allrecords with the most recent address information

© SAP 2009 / Page 15

Data Quality Management within SAPBusiness Suite provides Immediate Benefits

Data Cleansing enhances productivityParsing corrects misfielded data – enables better matching – ensuresstandardizationEntry is cased – no need to retype / correctAddress reference data is regularly updated – for 234+ countries

Suggestion lists and promptsInteractive drill-down and prompts when conflicting possibilities exist during entry

Duplicate checks and fuzzy matching ensure integrityPrevent duplicates during data entryFuzzy matching allows for variances in data entry

© SAP 2009 / Page 16

DQ Mgmt for SAP works with Entities BusinessPartner, Customer, and Vendor

Real time capabilitiesCleanse and correct data for more than 234 countries upon initial data captureSuggestion lists prompt the user through interactive drill-down and searchingReal-time phonetic matching prevents duplicates from entering the systemAdd-On Options– Delivery Point Validation (DPV) which verifies an address is deliverable– *new* GeoCodes (Latitude, Longitude) returned for the address

Batch processingAutomates data cleansing within SAP through “Quarterly Adjustment Reports”– Periodically refresh existing accounts’ address dataIdentify potential duplicates as a back-office process via Batch Matching report– Duplicate candidates can be reviewed via SAP’s Data Cleansing Case routines.

– A Cleansing Case is SAP’s consolidation feature.

© SAP 2009 / Page 17

Where does Data Quality Management livewithin the Business Process?

SAP CRM 2007– New Web Clients: Real-Time Data

Entry– Interaction Center Web Client– CRM Web Client

– SAP GUI: Back-Office BatchProcessing

SAP ECC 6– SAP GUI: Real-Time and Batch

ProcessingSAP CRM 5, ECC 5, R/3 4.7– SAP GUI: Real-Time and Batch

ProcessingNon-SAP Systems: Siebel,Peoplesoft, …

Prevent bad data from entering the business process acrossSAP and non-SAP

© SAP 2009 / Page 18

Why do Customers purchase Data QualityManagement for SAP Solutions?

DQ Mgmt for SAP provides a prepackaged native integration of dataquality best practices within the SAP environment

Enforces data discipline directly within SAP CRM or ERP systems– No extracts for external processing required

Virtually undetectable presence that provides:– Global address correction and standardization– Comprehensive duplicate detection– Convenient record searching

Faster time to ROIDelivers proven results

Automatic cleansing and matching increases efficiency and ensures there isconsistency across the enterprise. A single accurate 360o view of eachcustomer, vendor, or business partner supports all business processes.

© SAP 2009 / Page 19

Planned Integration Roadmap–SAP BusinessObjectsData Quality & SAP Business Suite

Today

Certified Integration based on Business Address Services (BAS)- Set of functions that enable highly efficient address management within core SAP functions

Certified Integration for Postal Validation based on BAS (BC-BAS-PV)- Global postal validation for 234+ countries- Suggestion Lists help validate ambiguous addresses

Certified Integration for Duplicate Check, Error Tolerant Search based on BAS (BC-BAS-DES)- Scans SAP database for potential duplicate records- Fuzzy searching allows users to find data with partial information

2010

Certified supports for SAP versions:- CRM 7.0, CRM 2007, CRM 5.0- ECC 6, ECC 5, R/3 4.7

Integrates with Data Services XI 3.1 SP1All Windows and Unix OS supported by Data Services XI 3.1 SP1

Extend Matching in CRM 7.0 Enhancement Pack 1, to use broader set of attributesIntegrates with Data Services XI 3.2

2H09

NOTE: This slide outlines SAP’s general product direction and should not be relied on in making a purchasedecision. This information is subject to change (and may be changed by SAP at any time for any reason

without notice) and is not subject to your license agreement or any other agreement with SAP.

© SAP 2009 / Page 20




implementation



Suite


warehouse


© SAP 2009 / Page 21

SAP NetWeaver Business IntelligenceTrusted Data Foundation for a Reliable Information Management Strategy

SAP SolutionRely on a trusted data foundation toensure an integrated, consistent viewof your enterprise data

Provides a rich set of pre-packaged,application neutral business contenttailored for all industries

Enables companies to leverage theirIT assets providing significant returnon business intelligence investments

Help decision makers model businesscritical scenarios to identify optimalstrategies for best performance

© SAP 2009 / Page 22

Added Value of Data Services and Data Federatorwith SAP NetWeaver Business Warehouse

Customers require scalable andflexible access to NW BW

High performance SQL-based interface to enableenterprise reporting for Line of BusinessAgile multi-source reporting against NW BW and othersources

Customers strive for efficientintegration of all data into NW

BW

Code-free creation of source system extract files to load BWPowerful validations and transforms across SAP and non-SAP sources, structured and unstructuredHigh productivity based on one design environment

Customers need to trust theinformation stored in their SAP

NetWeaver BW

Data and metadata transparency through lineage andimpact analysisValidation of SAP and non-SAP sources against business-driven data quality rules

Customers require BusinessContent for Line of Business and

the Enterprise

Pre-defined, scalable analytical models from data mart toenterprise data warehouse

© SAP 2009 / Page 23

Agile Reporting on top of NetWeaver BusinessWarehouse

Relational Universe on NetWeaverBW - based on Data Federator

Optimized for reportingAgile multi-source reporting, based ontrue federation technologyCore set of analytical featuresEasy to understand and use,addressing the needs of the line ofbusinessBased on relational metaphorsScale to large data volume

© SAP 2009 / Page 24

Efficient data integration for SAP NetWeaver BWwith SAP BusinessObjects Data Services

Enhanced integration into SAP NetWeaver BWEasier configuration and operation of Data Services to load SAP NetWeaver BWLaunch SAP NetWeaver BW jobs directly through Data ServicesUse Data Services to easily distribute data out of SAP NetWeaver BW using Open Hub Service

Native loading of SAP NW BW 7.X data sources planned for H2 2009

BusinessObjects Data Servicesis the market-leading* singleplatform for enterprise-class

data integration and data quality

*Source: SAP Business Objects Positioned as Market Leader in 2008 Gartner Magic Quadrant for Data Integration and Data Quality



© SAP 2009 / Page 25

Supporting all data sources

Use Data Services for loading SAP and non-SAP data into SAP NetWeaver BWAbility to load SAP Business suite data via the standard extractors not available today,planned for H1 2010

One platform for all data providing end-to-end data servicesLeverage Data Quality capabilities for profiling, cleansing, and enriching any dataEnrich SAP Business Content and streamline data loading processReplace data integration point solutions and consolidate to one platform

SAPNetWeaver BW

SAPBusiness Suite

All 3rd-PartyData Sources

SAP BusinessObjects Data Services

SAP Extractors



© SAP 2009 / Page 26

Trusted SAP NetWeaver BW deployment

Planned integration between SAP BusinessObjects Metadata Management and SAPNetWeaver BW

End-user access to data lineage information for trusted SAP NetWeaver BW deploymentChange impact analysis between SAP NetWeaver BW objects such as DataStore Objects, InfoSets,BEx Queries, and InfoCubesEnd-to-end capabilities for all data sources through Data Services

Estimated availability in H2 2009

Consolidate, Integrate, Audit and Trust Your Metadata



© SAP 2009 / Page 27

Scalable Models – From Line of Business to EnterpriseRapid Marts and NW BW Business Content

Single Rapid MartOne rapid mart materialized in BIAccelerator (or RDBMS)

Customer valueFast time to valueLow implementation risk

Multiple Rapid MartsCustomer creates incremental valuefrom multiple, integrated marts.

Customer valueFast time to valueLow implementation riskSynergies from marts

Data Warehouse and MartsCustomer establishes a corporatememory using SAP business content

Customer valueLow implementation riskIndustry best practice

Customer Maturity

Rapid Marts and NW BW Business Content provide a scalable model that supports evolvingcustomer maturity – From Single Marts for Line of Business to Enterprise Data Warehouse

© SAP 2009 / Page 28

Planned Integration Roadmap–SAP BusinessObjectsInformation Management and NW BW

Today

Certified integration with BW since 2002Market leading data qualityExchange of meta dataEmulation feature allows new BI 7.0 data flow based on DataServices 3.xAdministration and monitoring of the data flow possible

Integration through NW BWand BOBJ Data Servicesmetadata interchange

Data Services Metadata Manager

Optimized native interfacesbetween NW BW and BOBJMetadata Manager

2009

2010+

Enhanced handshaking for configuration and errorhandlingIntegration with SAP NetWeaver BW Open HubService

Integration into all SAP and non-SAP dataflows ofSAP NetWeaver BWTight embedding with common modeling,administration and monitoring (beyond)High performance loading into BW (bulk loading)



© SAP 2009 / Page 29




implementation



Suite


warehouse


© SAP 2009 / Page 30

Master Data Is Crucial to Your Businessbut Every Department Has a Different Version of It

Master data isdata about yourcustomers,products,suppliers etc.

Trading partnerdata introducesyet anotherversion of data

Inaccurate dataleads to $30+billion cost onsupply chains

CallCenter

Jane Smith4418 N. Str.Chicago, IL

60611Part: 2574

SRM

Part: 8975

VENDOR:ABC123

YOUR VALUE CHAIN

ERP

Jane Peters199, 3rd StreetPalo Alto, CA

Part: B7521

Logistics

VENDOR:XYZ456

© SAP 2009 / Page 31

SAP NetWeaver Master Data ManagementConsolidate and Centrally Manage Master Data Across Enterprise

Manage all key master data on a single platformusing flexible data modeling

Support consolidation, harmonization, centralmanagement

Take advantage in pre-packaged IT and businessusage scenarios

Compose cross-application processes in SOA withconsistent master data

Pre-integrated with industry leading data integrationand data quality tools from Business Objects

Use SAP Services for Master Data Management forfaster implementation

850+ customers

© SAP 2009 / Page 32

Added Value of Data Services with SAPNetWeaver MDM

Customers want an efficient,reusable mechanism to load

pristine data into MDM

Data Services enables cleansing, matching &consolidation for initial and delta loads to MDMData Services supports rule-based auto-merge andsurvivorship

Customers want to preventduplicate entries from entering

their systems, at the source

Data Services provides data cleansing and matchingservices for data maintenance on MDMBusiness rules are checked within Portal iViews beforerecords are committed

Customers recognize that aperiodic comprehensive cleanseof their data may be necessary,

to catch hidden incompleteentries and to update all with themost recent address information

Data Services supports periodic cleanse, match andconsolidate of the MDM repositoryExport, process and re-import the MDM repository via theenrichment adapter

© SAP 2009 / Page 33

Business Objects Data Services(Automated data flow)Business Objects Data Services(Automated data flow)

SAP NW MDMSAP NW MDM

Customer Example: Initial Load and MigrationProcess Design

MDM DB

De-DuplicationAuto

Consolidation

DataMigration

File

ManualConsolidation

AddressCleansing

NameCleansing

- Name / Firm / Title Cleansing- Name Standardization- Firm Reference Dictionary- Country-specific Cleansing

- Address Cleansing- Address Enrichment- Address Standardization- „Out-of-the-box“

Quality Reporting

- Fuzzy Matching Logic- Matching against MDM- Automerge Functionality- Match Group Assignment

Post Processing

Key Mapping

Lookups against MDM repository

© SAP 2009 / Page 34

Enterprise PortalEnterprise Portal

Customer Example: Central Master DataMaintenance Process Design

Fill in Request Check Duplicates Approve

MDM

NameCleansing

WebService

DuplicateCheck

WebService

AddressCleansing

WebService

Reuse of Scenario I Functionality:- - Firm / Name / Title Cleanse- - Address Dictionaries- - Matching Criteria

Business Objects Data Services

Lookupsagainst MDM repository

SAP NetWeaver MDM

© SAP 2009 / Page 35

Business Objects DS and SAP NW MDMThe Power of our Combined Product Offering

Business ObjectsData Services Platform

Powerful Extract, Transformand Load

Data /Database Connectivity

Extensive Data Cleansing

Universal Data Cleanse (UDC)

Directories and Dictionaries forValidations

User-Defined Business Rulesfor Matching (w/ Wizards)

Metadata Management –Lineage and Impact Analysis

SAP NetWeaverMaster Data Management

Fast and Flexible Object Store

Powerful Rich Clients for DataMaintenance and Authoring

Role-based and Web-enabledUser Interfaces

Workflow & Governance

Validations & Assignments

De-duplication & Key Mapping

Management of Rich Contentand Cross-Media Publishing(incl. Print )

Search and Catalog Engine

© SAP 2009 / Page 36

Comprehensive approach to deliver end-to-end MasterData Management and Governance

Master DataGovernance

Purpose built MDMapplications

AnalyticalUse Case

Integration withBI solutions

SAP MDMToday

GenericInfrastructure

covering OperationalUse case

Data Quality Drivers

Governance QualityDecision Quality

Integration Drivers

Process IntegrationData Integration

© SAP 2009 / Page 37

Planned Integration Roadmap–SAP BusinessObjectsInformation Management and NW MDM

Combined Master Data Infrastructure based on tight integration of MDM and Data ServicesData lineage and impact analysis on MDM

Best practices & tool support for efficient connectivityCall of Data Services for cleansing, matching & consolidation in custom iViews for MDM DataMaintenanceData Services for SAP and non-SAP feeds, and cleansing, matching & consolidation during load toMDM via Import ManagerCertified Integration with MDM enrichment controller – data cleansing and postal address validation& correction

Cross-repository integration via Data FederatorProfiling of NetWeaver MDM repositoryData Services for SAP and non-SAP feeds, and cleansing, matching & consolidation during load toMDM via Web Services InterfaceMaster data governance processes supported with workflow engine, leveraging Data Services forcleansing, matching & consolidation

2010+

Today

2009



© SAP 2009 / Page 38


Agenda

© SAP 2009 / Page 39

1. DataREADINESS

Building a Roadmap for Enterprise DataManagement is Key for Success

4. DataGOVERNANCE

Understand what dataassets you have andhow they are being

used

Deliver trustedinformation repeatableand reliably at the right

form, to the right place atthe right time

2. DataINTEGRATION

3. DataCONSOLIDATION

Understand

Govern

Consolidate

Understand

Consolidate

Understand Understand

Consolidate diversemaster data landscapesand increase trust andreliability in information

Technology enablingpeople to implement arepeatable process to

manage the use, qualityand lifecycle of

information

People & Process Maturity

Valu

e

Integrate Integrate Integrate

© SAP 2009 / Page 40

1. DataREADINESS

Building a Roadmap for Enterprise DataManagement is Key for Success

4. DataGOVERNANCE

Understand what dataassets you have andhow they are being

used

Deliver trustedinformation repeatableand reliably at the right

form, to the right place atthe right time

2. DataINTEGRATION

3. DataCONSOLIDATION

Data Profiling &Metadata Management

Data Governance

Master DataManagement

Understand

Master DataManagement

Consolidate diversemaster data landscapesand increase trust andreliability in information

Technology enablingpeople to implement arepeatable process to

manage the use, qualityand lifecycle of

information

People & Process Maturity

Valu

e

Data Migration &Integration






© SAP 2009 / Page 41

SAP BusinessObjects Information ManagementSolutions: Roadmap Highlights

Trust

BusinessAcceleration

All Data

Governance

Today 2009 2010+

Market-leadingData Integrationand Data Quality

offering.

Built into oneplatform.

Integrated withSAP Applications,

BW, MDM andBusiness Objects

BI.

Data Migration for LE & ME

Tight MDM, BW and Business Suite Integration

DS XI 3.2 MM XI 3.1, DQ for Suite DS Aurora, DQ for Suite.

Data Source Expansion

Text Analysis, MSU

DQ Expansion (Countries, Domains, Verticals)

Enh. Party Data Enh. Non-Party, DQ WB, FS

Information Control Center

ICC

Rapid Marts

SAP Rapid Marts Rapid Marts



© SAP 2009 / Page 42© SAP 2009 / Page 42

© SAP2008 /Page42Thank you!

SAP BusinessObjects Information ManagementSolutions

Added Value for SAP deployments

SAP BusinessObjects

© SAP 2009 / Page 44

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Documents

SAP BusinessObjectsTM Information Management …...– Periodically refresh existing accounts’ address data Identify potential duplicates as a back-office process via Batch Matching