Upload
phungtruc
View
217
Download
0
Embed Size (px)
Citation preview
Bo
os
t C
on
se
il –
Boost Conseil – novembre 16
Boost Conseil –
ISO 8000
Nov 03 2016
• An ISO framework for Data and Information Quality Management
• Jean Brangé, ISO/TC 184/SC 4/WG 21
ISO8000@PDTEurope2016 1
Bo
os
t C
on
se
il –
WHAT CAN GO WRONG ... N
ov
03
20
16
ISO 8000 @ PDT Europe 2016 2
Bo
os
t C
on
se
il –
... WILL GO WRONG ? N
ov
03
20
16
ISO 8000 @ PDT Europe 2016 3
Bo
os
t C
on
se
il –
ISO 8000 CONTEXT
• Companies need an ability to create, collect, store, retain, transfer, process and present data, to support their business processes in a timely and cost effective manner.
• This requires both an understanding of data characteristics that determine quality.
• These characteristics are then used to measure, manage and report on data quality.
No
v 0
3 2
016
ISO 8000 @ PDT Europe 2016 4
Bo
os
t C
on
se
il –
THE USER IMPEDANCE CONVERTERN
ov 03
20 16
ISO 8000 @ PDT Europe 2016 5
Bo
os
t C
on
se
il –
THE AUTOMATED CROSS ORGANIZATIONS PROCESSES
ISO 8000 @ PDT Europe 2016Nov 03 2016
Collaboration processes are defined in order to allow organization to collaborate while still keeping their own internal optimized processes.
Systems needs to work together across the organizations
Software Product A Software Product B
Cross organizational collaborative process Pc
Private Process OEM
Private Process Supplier
Application OEM Application Supplier
Data
Information
Request
Proc
ess
Info
rmat
ion
Syst
emIn
form
atio
nTe
chno
logy
Collaborative Application
Collaborative Software solutionRealize Realize
Support Support
CC(0) CC(S)
CI(Pc)
Support
Standardized cross organizational collaborative process
AP2xx
Data Format
Jane
Joe
Bo
os
t C
on
se
il –
DATA IS A STRATEGIC ASSET FOR THE DIGITAL
TRANSFORMATION
INCREASE THE LEVEL OF AUTOMATION : PROCESS AND PRODUCTIVITY IMPROVEMENTS
EXPAND DIGITALIZATION : COST REDUCTION FOR TRANSACTIONS AND EXCHANGES
REORGANIZE THE VALUE CHAIN : DISINTERMEDIATION / RE-INTERMEDIATION – NEW ECONOMIC MODELS7
No
v 0
3 2
016
ISO 8000 @ PDT Europe 2016
Bo
os
t C
on
se
il –
QUALITY MANAGEMENT OF YOURASSETS AND YOUR PRODUCTS ..
No
v 0
3 2
016
ISO 8000 @ PDT Europe 2016 8
Assetmanagement Quality
management
DataQuality
ISO 8000
ISO 55000
ISO 9000
Data is an assetData is a product
Bo
os
t C
on
se
il –
9
SETTING THE BUSINESS CONTEXTIMAGINE THE OPPORTUNITIES IF …
– Configuration management information was always accurate, up to date and immediately accessible
– Maintenance information was precisely tailored to the work to be done
– Spares and inventory costs were minimized through vendor involvement in an integrated supply chain
– In-service feedback was accurate, meaningful and readily available to product designers and support managers
– Change was easy to manage
from PLCSN
ov
03
20
16
ISO 8000 @ PDT Europe 2016
Bo
os
t C
on
se
il –
KNOWING YOUR DATA CHARACTERITICSN
ov
03
20
16
ISO8000@PDTEurope2016 10
Bo
os
t C
on
se
il –
NETWORK RAIL TRAINS DELAYS• 53,1 M£ of fines by the rail regulatory office (ORR) for lack of
performance
• Confusion maintained on distances (kilometers or miles)• Maintenance reports in paper and digital form
• What part of the network should you repair or replace? And when?
No
v 0
3 2
016
ISO8000@PDTEurope2016 11
Bo
os
t C
on
se
il –
ISO 8000 – SYSTEMATIC & SYSTEMIC DATA QUALITYN
ov
03
20
16
ISO 8000 @ PDT Europe 2016 12
© 2016 Babcock International
ISO 8000 – Systematic & systemic data quality
Perform data quality management
Plan, assure & improve data quality
Provide human resourcesProvide technology & services
Control data quality
information need
data that meet requirements
Analyse requirements &design data life cycle
Execute & monitordata life cycle
data specification
Plan & perform decision making within processes across organisation
work instructions
Identify strategic objectives of organisation & commitment from senior management
"re-interpretable representation of information in a
formalized manner suitable
for communication,
interpretation, or processing“
ISO/IEC2382-1:1993
data"knowledge concerning
objects, such as facts, events,
things, processes, or ideas, including
concepts, that within a certain
context has a particular meaning“
ISO/IEC2382-1:1993
information
Bo
os
t C
on
se
il –
ISO 8000 – SYSTEMATIC & SYSTEMIC DATA QUALITY
No
v 0
3 2
016
ISO 8000 @ PDT Europe 2016 13
© 2016 Babcock International
ISO 8000 – Systematic & systemic data quality
Perform data quality management
Plan, assure & improve data quality
Provide human resourcesProvide technology & services
Control data quality
information need
data that meet requirements
Analyse requirements &design data life cycle
Execute & monitordata life cycle
data specification
Plan & perform decision making within processes across organisation
work instructions
Identify strategic objectives of organisation & commitment from senior management
• 9 parts published
• 15 parts under development
current status
Bo
os
t C
on
se
il –
ISO 8000 – SYSTEMATIC & SYSTEMIC DATA QUALITY
No
v 0
3 2
016
ISO 8000 @ PDT Europe 2016 14
© 2016 Babcock International
ISO 8000 – Systematic & systemic data quality
Perform data quality management
Plan, assure & improve data quality
Provide human resourcesProvide technology & services
Control data quality
information need
data that meet requirements
Analyse requirements &design data life cycle
Execute & monitordata life cycle
data specification
Plan & perform decision making within processes across organisation
work instructions
Identify strategic objectives of organisation & commitment from senior management
“Information & data quality: Concepts &
measurement”
ISO 8000-8
validation
verification
syntactic, semantic & pragmatic quality
Bo
os
t C
on
se
il –
ISO 8000 – SYSTEMATIC & SYSTEMIC DATA QUALITY
No
v 0
3 2
016
ISO 8000 @ PDT Europe 2016 15
© 2016 Babcock International
ISO 8000 – Systematic & systemic data quality
Perform data quality management
Plan, assure & improve data quality
Provide human resourcesProvide technology & services
Control data quality
information need
data that meet requirements
Analyse requirements &design data life cycle
Execute & monitordata life cycle
data specification
Plan & perform decision making within processes across organisation
work instructions
Identify strategic objectives of organisation & commitment from senior management
“Master data: Exchange of
characteristic data”
ISO 8000-100
series
computer-processable with statements of provenance,
accuracy & completeness
Bo
os
t C
on
se
il –
ISO 8000 – SYSTEMATIC & SYSTEMIC DATA QUALITY
No
v 0
3 2
016
ISO 8000 @ PDT Europe 2016 16
© 2016 Babcock International
ISO 8000 – Systematic & systemic data quality
Perform data quality management
Plan, assure & improve data quality
Provide human resourcesProvide technology & services
Control data quality
information need
data that meet requirements
Analyse requirements &design data life cycle
Execute & monitordata life cycle
data specification
Plan & perform decision making within processes across organisation
work instructions
Identify strategic objectives of organisation & commitment from senior management
“Data quality management
process assessment”
ISO 8000-60
series
maturity model approach
Bo
os
t C
on
se
il –
ISO 8000 – SYSTEMATIC & SYSTEMIC DATA QUALITY
No
v 0
3 2
016
ISO 8000 @ PDT Europe 2016 17
© 2016 Babcock International
ISO 8000 – Systematic & systemic data quality
Perform data quality management
Plan, assure & improve data quality
Provide human resourcesProvide technology & services
Control data quality
information need
data that meet requirements
Analyse requirements &design data life cycle
Execute & monitordata life cycle
data specification
Plan & perform decision making within processes across organisation
work instructions
Identify strategic objectives of organisation & commitment from senior management
“Quality management framework”
ISO 8000-150
data administrator
data manager
data technician
Bo
os
t C
on
se
il –
... AND YOU CAN CONNECT MORE ... N
ov
03
20
16
ISO 8000 @ PDT Europe 2016 18
Assetmanagement
Qualitymanagement
ISO 22745
ISO 10303-57
e-OTD PDQ-S
ISO 8000
ISO 55000
ISO 9000
Data is an assetData is a product
Bo
os
t C
on
se
il –
14 COUNTRIES PARTICIPATING : STAKEHOLDERS AND AREA OF INTEREST
USADefense Logistics
Master Data Catalogues
Vendor
FranceAeroSpace
GS1/Catalogues
SOUTH AFRICAVendors
Master Data
Great Britain
JAPANAutomotive
PDQ-S
KOREAR&D
Management System
Norway: DefenseInformation Quality Sweden
AeroSpace
SpainModels & processes
Germany: German association for information &
data qualityMaturity models
Auto /Tooling indutry
ChinaObserver
NetherlandsUser Groups
Bo
os
t C
on
se
il –
FROM ISO 8000 TO YOU
• ISO 8000 methodological support for data quality projects
• ISO 8000 framework (incl links to other product data standards ( STEP , e-OTD, PLCS ), training available, tools support– Usage guide part 311 on Product Data quality– Part 150 for setting up a quality management organization for databases
• Guidance for process optimization through data quality– ISO 8000-62 (draft)
• Evaluation grid of the maturity of your organization in terms of data quality– ISO 8000-63
• Formalized business rules and data requirements for AP242 XML with toolsin SAXON : PDM-IF quality checkers
No
v 0
3 2
016
ISO8000@PDTEurope2016 20
Bo
os
t C
on
se
il –
BACKUP
No
v 0
3 2
016
ISO 8000 @ PDT Europe 2016 21
Bo
os
t C
on
se
il –
STANDARDS WORKING GROUPS
• ISO/TC 184/SC 4/WG 13:International Working Group on the quality of industrial data
• ISO/TC 184/SC 4/WG 23:International Working Group on validating vocabulary
• AFNOR: GT ISO 8000: French Working Group on ISO 8000
No
v 0
3 2
016
ISO8000@PDTEurope2016 22
Bo
os
t C
on
se
il –
ISO 8000 PARTSN
ov
03
20
16
ISO8000@PDTEurope2016 23
Part
2 Vo
cabu
lary
Part 1 Overview
ISO 8000 Data quality management framework
Part 8 Information and
data quality: Concepts and
measuring
Part 100 Master data: Overview
Part 110 Master data: Syntax, semantic encoding &
conformance to data specification
Part 120 Master data:Provenance
Part 130 Master data: Accuracy
Part 140 Master data: Completeness
Information and data oriented
Part 311 Guidance for the application of PDQ-S
Process oriented
Part 60 Data quality management: The overviewof process assessment
Part 115 Master data:Quality identifiers
Part 61 Data quality management: Processreference model
Part 62 Data quality management: Processmaturity assessment model
Part 63 Data quality management: Measurementframework
Part 150 Master data: Quality management framework
Publié
NWI
CD
WD
Bo
os
t C
on
se
il –
« MASTER DATA » SERIESN
ov
03
20
16
ISO8000@PDTEurope2016 24
Part 110 Master data: Syntax, semantic encoding & conformance to data specification
Part 100 Master data: Overview
Part 120 Master data:Provenance
Part 130 Master data: Accuracy
Part 140 Master data: Completeness
Part 115 Master data:Quality identifiers
Part 150 Master data: Quality management
framework
Bo
os
t C
on
se
il –
DATA QUALITY MANAGEMENT SYSTEMSERIES
No
v 0
3 2
016
ISO8000@PDTEurope2016 25
Part 60 Data quality management: The overview of process assessment
Part 61 Data quality management: Processreference model
Part 62 Data quality management: Processmaturity assessment model
Part 63 Data quality management: Measurementframework
Bo
os
t C
on
se
il –
LINKS
• ISO/TC184/SC4/WG13 Industrial Data Quality– http://isotc.iso.org/livelink/livelink?func=ll&objId=8838237&o
bjAction=browse&viewType=1
• ISO/TC184/SC4/WG23 VocabularyValidation Team– http://isotc.iso.org/livelink/livelink?func=ll&objId=8838237&o
bjAction=browse&viewType=1
• AFNOR/CP IDMI/GT ISO 8000 Qualité des données– https://ecom.afnor.org/livelink-
fr/livelink.exe?func=ll&objId=23149998&objAction=browse
No
v 0
3 2
016
ISO8000@PDTEurope2016 26