La présentation de la plénière de la Matinale du MDM 2011

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

2. Business & Decision profile
• Business Intelligence & Performance Management
“BI Global Magic Quadrant”. Gartner
• Master Data Management
“MDM European Survey relative market share leaders”. MDM Institute
• Customer Relationship Management
“CRM Europe Magic Quadrant ”. Gartner
• E-Business
“E-Business European Top 10”. Forrester
• Founded in1992
• Across 19 countries
• 237,1 M€ revenue
• 2800 employees
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An expert in business processes which delivers global strategic
projects to major customers with the highest level of
commitment
Consulting & System Integrator :
– Business value discovery & assessment
– IT project delivery
– Change management, continuous improvement
Multi-specialist in :
• Business Intelligence
• Performance Management
• Enterprise Information Management
• Customer Relationship Management
• E-Business
Founded in 1992.

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. 3) Value the whole
eco-system
Information as a strategic asset?
1) Know your
customer
2) Extend your
portfolio (long tail)
Sources : S Distinguin, Amazon, the hidden empire, faber Novell, may 20115

6. Master Data Management Summit, Paris
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7. People
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
Customer
Citizens
Consumers
Suppliers
Employees
Business
Partners
Products
Services
Things
Assets
Tariffs
Points de
vente
Les
Lieux
Filiales
Entre-
pots
Accounts
Organisations
Operational & legal
organizations
Territories
Countries
Places
Agencies
Offices
Real estate
Shops
Warehouses
Rules &
policies
Other
Configurations
Standard
codifications
SLA
Projects
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Gartner

8. MDM market : Different DNAs, but a common destination :
multi-domain MDM
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9. MDM @Business & Decision : our key expertise ?
Information
Modeling
Uniform the concepts and
vocabularies
Brake silos and stimulate
knowledge sharing
Map information
domains
Conceptualize
business concepts
Project models
across the different
business views
Review data models
through system
generated forms
Integration of the
generated data
services
Analyze
quality
Continuously improve master data
quality and provide certification
paths
Investigate the data
Specify rules for data
quality checking
Measure the gaps
and deliver quality
reporting
Cleanse data
Correct data
Organize
governance
Align organization with the new
data governance model
Empower business with
accountability on their master data
Identify stakeholders
and describe
profiles, roles &
contributions
Formalize
governance politics
Model acquisition,
contribution and
validation processes
Model business
information lifecycles
Integrate the
IT solution
Synchronize applications
against a single point of truth
Ensure traceability and
auditability of master data
Secure access
Position MDM in the
IT landscape
Select the MDM
solution
Implement the Proof
Of Concept
Formalize business
process integration
strategies
Define integration
standards
Manage the
MDM program
Drive the relation
between IT and
Lines if Businesses
Communicate with
the sponsors and
key users
Guide action plan
towards the target
Manage the different
aspects of the
project
Set-up quality
insurance programs
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10.  Moderated by Jean-Michel Franco,
Solutions Director
Roundtable : MDM, the big jump
With Pascal Dessouliers,
Enterprise Architect , resp
of the program «Information
& decisions»
And for
Raphaël Bénoliel,
EIM practice Director
Nicolas Desachy,
Information Management
Marketing Leader
Gilles Liguori,
CRM practice Director
Jean-Paul Otte,
Information Governance Practice Manager
Business & Decision BeNeLux
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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. Copyright 2011 Business & Decision – all rights reserved
Enable
proactivity
and agility
Be efficient
in reactively
managing
issues
A maturity model for data governance
Unpredictable
Manageable
Controlled
Proactive
Embedded
Data
Quality
Focus
Data
Governance
Focus
Risk
Trust
Agility
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14. Copyright 2011 Business & Decision – all rights reserved
Key elements of the maturity model
Unpre-
dictable
Manageable
Controlled
Proactive
Embedded
People Processes Technology
• Data Quality Culture
• Data Governance Office
• Empowered Data
Stewards
• Optimized Value Chain
• DQ as part of any
project/Business
process
• Operational MDM
• Proactive behaviour on
DQ
• Recognized Data
Stewards
• Data Quality integrated in
Business Process
Management
• DG Policies
• Centralized Metadata
• Data Governance
Workflow support tool
• DG Dashboards
• Centralized Metadata
Platform
• Assigned Data Stewards
• Accountability of Business
Process Owner
• Documented Business
Definitions and Rules
• Shared metadata
management
• DQ Platform & Firewall
• Analytical MDM
•Shared metadata
repositories
•Business Glossary
• Awareness Growth
• Emerging Data Stewards
• Business definitions exist
• DQ Assessment
Methodology in place
• “Silo” metadata
management
• DQ tool
• DQ cleansing
•Metadata repositories
• No awareness
•No responsibility
• No common language
• Project by project
• No metadata
management
• No specific tools
• Information as a key asset
• Single version of the
truth
• Coherent and shared
information
• DQ level monitored
• Communicated DQ value
• Business Driven
information mgt
• Able to assess DQ level
and impact
• Information is also a
business concern
• Unknown level of quality
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15. Copyright 2011 Business & Decision – all rights reserved
Where to start : Data Governance Boot Camp

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