Business & Decision MDM Summit (english version)

Business & Decision MDM Summit (english version)

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  Twitter : #MDMParis 2 juin 2010 Hôtel de Crillon – Paris 8ème
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  Business & Decisionprofile • 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 2
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  Digital economy ? Ray Wang : CEO Constellation Research 3
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  Could you behurt 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 4
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  Information as astrategic 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
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  Master Data ManagementSummit, Paris 6
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  What is MasterData 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 7
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  MDM market :Different DNAs, but a common destination : multi-domain MDM 9
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  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 10
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  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 11
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  Select and prioritizethe use cases 12
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  Deliver on theMDM promises Sources : Gartner 13
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  A maturity modelfor 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 14
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  Key elements ofthe 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 15
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  Where to start: Data Governance Boot Camp Copyright 2011 Business & Decision – all rights reserved
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  From MDM toEIM : « think big, start small » OK, but where should you start 17
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  Workshops 19
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  Twitter : #MDMParis 2 juin 2010 Hôtel de Crillon – Paris 8ème 20