This presentation was held at the plenary session of Business & Decision MDM Summit, Paris (May 2011)

1. Twitter : #MDMParis 2 juin 2010
Hôtel de Crillon – Paris 8ème

2. Business & Decision profile
• Founded in1992
• Across 19 countries
An expert in business processes which delivers global strategic
• 237,1 M€ revenue
projects to major customers with the highest level of
commitment • 2800 employees
Consulting & System Integrator :
– Business value discovery & assessment
– IT project delivery
– Change management, continuous improvement
Multi-specialist in :
• Business Intelligence
• Performance Management • Business Intelligence & Performance Management
• Enterprise Information Management “BI Global Magic Quadrant”. Gartner
• Customer Relationship Management
• Master Data Management
• E-Business
“MDM European Survey relative market share leaders”. MDM Institute
• Customer Relationship Management
Founded in 1992.
“CRM Europe Magic Quadrant ”. Gartner
• E-Business
“E-Business European Top 10”. Forrester
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3. Digital economy ?
Ray Wang : CEO Constellation Research
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4. Could you be hurt by a Data Deluge ?
• « The intrusion led to exposure of sensitive data of 77 million users... Sony then
discovered a database dating from 2007, including over 22 000credit cards
numbers … »
• « Experts believe that this security incident highlights the growing lack of
interest as the location of sensitive data in business information system. »
• «I've given so many cases where people put in place the right technologies,
procedures and rules but are unable to reference all their data. It is really
surprising that unfortunate event has to before the situation gets improved. »
Eric Holmquist, President Holmquist Advisory
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5. Information as a strategic asset?
1) Know your 3) Value the whole
customer eco-system
2) Extend your
portfolio (long tail)
5 Sources : S Distinguin, Amazon, the hidden empire, faber Novell, may 2011

6. Master Data Management Summit, Paris
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7. What is Master Data Management ?
Master data sets are synchronized copies of core business entities used in
traditional or analytical applications across the organization along with their
associated metadata, attributes, definitions, roles, connections and taxonomies.
.
Master Data Management is a technology enabled discipline in which business &
the IT organization work together to ensure the uniformity, accuracy, stewardship,
semantic consistency and accountability of the enterprise official , shared master
data assets Gartner
People Things Les
Places Organisations Other
Lieux
Customer
Rules &
Citizens Products Points de policies
Countries Accounts
Services vente
Consumers
Shops
Warehouses Territories SLA
Suppliers Entre-
Assets Agencies pots
Filiales Configurations
Employees Projects
Offices Operational & legal
Business Tariffs organizations Standard
Real estate
Partners codifications
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8. MDM market : Different DNAs, but a common destination :
multi-domain MDM
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9. MDM @Business & Decision : our key expertise ?
Information Analyze Organize Integrate the Manage the
Modeling quality governance IT solution MDM program
Synchronize applications
against a single point of truth
Continuously improve master data
Uniform the concepts and quality and provide certification Align organization with the new Ensure traceability and
vocabularies paths data governance model auditability of master data
Brake silos and stimulate Empower business with
knowledge sharing Secure access
accountability on their master data
Identify stakeholders Drive the relation
Map information Position MDM in the
Investigate the data and describe between IT and
domains IT landscape
profiles, roles & Lines if Businesses
contributions
Communicate with
Conceptualize Specify rules for data Select the MDM
the sponsors and
business concepts quality checking solution
key users
Formalize
governance politics
Project models Measure the gaps
Implement the Proof Guide action plan
across the different and deliver quality
Of Concept towards the target
business views reporting
Model acquisition,
contribution and
Review data models validation processes Formalize business Manage the different
through system Cleanse data process integration aspects of the
generated forms strategies project
Integration of the Model business
information lifecycles Define integration Set-up quality
generated data Correct data
standards insurance programs
services
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10. Roundtable : MDM, the big jump
With Pascal Dessouliers, Nicolas Desachy,
Enterprise Architect , resp Information Management
of the program «Information Marketing Leader
& decisions»
And for
Raphaël Bénoliel, Gilles Liguori,
EIM practice Director CRM practice Director
Jean-Paul Otte,
Information Governance Practice Manager
Business & Decision BeNeLux
 Moderated by Jean-Michel Franco,
Solutions Director
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11. Select and prioritize the use cases
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12. Deliver on the MDM promises
Sources : Gartner
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13. A maturity model for data governance
Embedded Agility Data Enable
Governance proactivity
and agility
Proactive
Focus
Controlled Trust
Manageable
Be efficient Data
in reactively
managing
Quality
Unpredictable
issues Focus Risk
Copyright 2011 Business & Decision – all rights reserved
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14. Key elements of the maturity model
People Processes Technology
• Data Quality Culture • Optimized Value Chain
• Information as a key asset
• Data Governance Office • DQ as part of any
Embedded • Empowered Data project/Business
• Operational MDM • Single version of the
truth
Stewards process
• Data Quality integrated in • Data Governance
• Proactive behaviour on Business Process Workflow support tool
DQ • Coherent and shared
Proactive • Recognized Data
Management
• DG Policies
• DG Dashboards
information
• Centralized Metadata
Stewards • Centralized Metadata Platform
• DQ Platform & Firewall • DQ level monitored
• Documented Business
• Assigned Data Stewards • Analytical MDM
Definitions and Rules • Communicated DQ value
Controlled • Accountability of Business
Process Owner
• Shared metadata
•Shared metadata
repositories
• Business Driven
management information mgt
•Business Glossary
• Business definitions exist • Able to assess DQ level
• DQ Assessment • DQ tool
• Awareness Growth and impact
• DQ cleansing
Manageable • Emerging Data Stewards Methodology in place
•Metadata repositories • Information is also a
• “Silo” metadata
business concern
management
• No common language
Unpre- • No awareness • Project by project
• No specific tools • Unknown level of quality
•No responsibility • No metadata
dictable management
Copyright 2011 Business & Decision – all rights reserved
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15. Where to start : Data Governance Boot Camp
Copyright 2011 Business & Decision – all rights reserved

16. From MDM to EIM : « think big, start small » OK, but where
should you start
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17. Workshops
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18. Twitter : #MDMParis 2 juin 2010
Hôtel de Crillon – Paris 8ème
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