Business & Decision MDM Summit (english version)

2 juin 2010Hôtel de Crillon – Paris 8ème

Twitter : #MDMParis

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.

Digital economy ?

Ray Wang : CEO Constellation Research

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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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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

Master Data Management Summit, Paris

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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

MDM market : Different DNAs, but a common destination :

multi-domain MDM

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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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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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Select and prioritize the use cases

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Deliver on the MDM promises

Sources : Gartner

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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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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 sharedinformation

• 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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Where to start : Data Governance Boot Camp

From MDM to EIM : « think big, start small » OK, but where

should you start

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Workshops

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2 juin 2010Hôtel de Crillon – Paris 8ème

Twitter : #MDMParis

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