This document discusses data governance and provides an overview in 5 slides. It defines governance as evaluating, leading, and measuring data strategies, policies, standards, and metrics. Governance is important to keep data management under control, increase consistency in decision making, and reduce issues around data discovery, integration, dissemination, insight, management, and security. The document recommends using frameworks like COBIT 5 and the DMBOK to build governance through roles and responsibilities, policies, procedures, business rules, audits, and metrics. It also outlines starting governance through assessment and maturity evaluation, and running governance through issue management, conformance monitoring, and value communication.

1. ( Big ) Data Management
Governance
Global Concepts in 5 slides
2016
Nicolas SARRAMAGNA
https://fr.linkedin.com/pub/nicolas-sarramagna/19/941/587

2. CONTENTS
 Introduction
 What
 Why
 How
 References

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. 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. 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. 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. 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. 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