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( Big ) Data Management - Governance - Global concepts in 5 slides

The main concepts of the governance for your data projects

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( Big ) Data Management - Governance - Global concepts in 5 slides

  1. 1. ( Big ) Data Management Governance Global Concepts in 5 slides 2016 Nicolas SARRAMAGNA https://fr.linkedin.com/pub/nicolas-sarramagna/19/941/587
  2. 2. CONTENTS  Introduction  What  Why  How  References
  3. 3. COMPAGNIE PLASTIC OMNIUM CONFIDENTIAL Governance in Data Management 3  DATA MANAGEMENT  Multiples modules  BIG DATA  Velocity, Volume, Variety, Veracity, Value Collect Storage Data Mining / Machine Learning Data Viz Governance Security Master Data Data quality
  4. 4. COMPAGNIE PLASTIC OMNIUM CONFIDENTIAL Governance – What 4  GOVERNANCE IS  Evaluate -> Lead -> Measure  ACTIONS  To define, approve, communicate, track and enforce conformance of data strategies, policies, standards, architecture, procedures and metrics  To sponsor, track and oversee the delivery of data project management projects and services  To prevent, manage and resolve data related issues  To understand and promote the value of data assets
  5. 5. COMPAGNIE PLASTIC OMNIUM CONFIDENTIAL Governance – Why 5  WHY  To keep the services of the DMP under control (modules of collect, storage, data quality, ….)  To increase consistency and confidence in decision making through accurate, accessible, and actionable data : IT merge, time to market, competitiveness, to go on new sector  To reduce data management issues about  Discovery : find the right information  Integration : manipulate and combine information  Dissemination : consume information  Insight : extract value and knowledge from information  Management : manage and control information volumes and growth  Security : in particular disponibility and audit
  6. 6. COMPAGNIE PLASTIC OMNIUM CONFIDENTIAL Governance – How 6  USAGES OF STANDARD  COBIT 5  DMBOK Planning, Development, Control, Operational Activities  BUILD GOVERNANCE WITH  Roles, Responsibilities -> RACI  Policies  Procedures  Business Rules  Data Usage  Workflow  Data Audits  Measures / Metrics  Reporting
  7. 7. COMPAGNIE PLASTIC OMNIUM CONFIDENTIAL Governance – How 7  START  Determine enterprise data needs and data strategy  Understand and assess current state data management maturity level  Establish future state data management capability  Establish data professional roles and organizations  Develop and approve data policies, standards, and procedures  Plan and sponsor data management projects and services  Establish data asset value and associated costs  RUN  Coordinate data governance activities  Manage and resolve data related issues  Monitor and enforce conformance with data policies, standards, and architecture  Communicate and promote the value of data assets  EVALUATE MATURITY WITH METRICS  Data value  Data management cost  Achievement of objectives  Number of decisions made  Steward representation and coverage  Internal, external resources vs needs  Data solution, services portfolio vs needs  Data infrastructure vs needs  Data management process maturity
  8. 8. COMPAGNIE PLASTIC OMNIUM CONFIDENTIAL Governance - References 8  REFERENCES  http://www.isaca.org/chapters3/Atlanta/AboutOurChapter/Documents/GW2014/Implementing%20a%20Data%20G overnance%20Program%20-%20Chalker%202014.pdf  https://web.stanford.edu/dept/pres-provost/irds/dg/files/StanfordDataGovernanceMaturityModel.pdf  http://fr.slideshare.net/alanmcsweeney/data-information-and-knowledge-management-framework-and-the-data- management-book-of-knowledge-dmbok-3366885  http://www.isaca.org/COBIT/Pages/COBIT-5-Framework-product-page.aspx  Book : Multi-Domain Master Data Management: Advanced MDM and Data Governance in Practice

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