DATA GOVERNANCE
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The DAMA Wheel
Data
Data
Architecture Modeling &
Design
Data
Quality
Data Storage &
Operations
Data
Governance
Data
Metadata
Governance
DW & BI
Ref &
Master
Data
Data
Security
Data Integration
& Interoperability
Doc &
Content
Mgmt.
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1 Main source: Copyright © 2017 DAMA International
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Data Management Maturity Model
Maturity
Level
Data Quality
Innovation
Continuous
Improvement
KPIs
Standards
MD
Metadata
Chaotic
Stage
Initial
Managed
Defined
Quantitative
Managed
Data Maturity Model (CMMI-DMM, 2014) from Carnegie Mellon University
Optimized 4
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Introduction
Data Governance is defined as the exercise of authority and control
(planning, monitoring, and enforcement) over the management of data
assets.
Data Governance guides and oversight all other data management
functions.
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1 Source: Copyright © 2017 DAMA International
DMBOK2 - Technics Publications, Basking Ridge, New Jersey, USA
Data Governance is a system of rights and accountabilities, and the
enforcement of authority over the management of all data and datarelated assets of the organization.
who can take what actions
with what information and when
under what circumstances
using what methods
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1 Source: Copyright © 2017 DAMA International
DMBOK2 - Technics Publications, Basking Ridge, New Jersey, USA
Data Governance Program
1. Strategy
5. Compliance
2. Policy
6. Issue Management
3. Standards and Quality
7. Data Management Projects
4. Stewardship
8. Data Asset Valuation
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1 Main source: Copyright © 2017 DAMA International
DMBOK2 - Technics Publications, Basking Ridge, New Jersey, USA
4-pillar Framework
Data Governance
Data
Protection
Rules
Secure Perimeter,
Limit Access,
Visibility
(metadata)
Protection
(encryption)
Data
Classification
Rules
Critical, High,
Medium or Low
Priority
Classified,
Secret,
Confidential,
Cleared.
Compliance,
Security,
Privacy Rules
Business
Process Rules
Integration of
existing
security
framework
Data Quality
and
Risk
Management
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Strategic Alignment
Accountability: roles and responsibilities in the defined organizational chart
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2
Data Inventory: data stewards to maintain the inventory of all data using
metadata tools
3
Business Processes: establish processes for managing data in massive storage
and data analysis tools
4
Policies, Procedures and Rules: define data protection, classification,
compliance and security
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Data Governance Framework
Definition
The exercise of authority, control, and shared decision-making
(planning, monitoring, and enforcement) over the management of
data assets.
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1 Main source: Copyright © 2017 DAMA International
DMBOK2 - Technics Publications, Basking Ridge, New Jersey, USA
Goals
1. Enable an organization to manage its data as an asset
2. Define, approve, communicate, and implement principles, policies,
procedures, metrics, tools, responsibilities for DM
3. Monitor and guide policy compliance, data usage and
management activities
Business Drivers
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1 Main source: Copyright © 2017 DAMA International
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DG program must be:
o Sustainable
o Embedded in software development, analytics, MDM, risk
management
o Measured
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1 Source: Copyright © 2017 DAMA International
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Principles
Leadership and Strategy
Business-driven
Shared responsibility
Multi-layered
Framework-based
Principle-based
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1 Source: Copyright © 2017 DAMA International
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Inputs
Business, IT and Data Strategies & Goals
Policies & Standards
Culture Assessment
Data Maturity Assessment
IT Practices
Regulatory Requirements
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1 Source: Copyright © 2017 DAMA International
DMBOK2 - Technics Publications, Basking Ridge, New Jersey, USA
Activities
1. Define DG for the Organization
2. Perform Readiness Assessment
3. Perform Discovery and Business Alignment
4. Develop DG Strategy
5. Develop Organizational Touch Points
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1 Source: Copyright © 2017 DAMA International
DMBOK2 - Technics Publications, Basking Ridge, New Jersey, USA
Deliverables
Data and Data Governance Strategy
DG Principles, Polices, Processes
Implementation Strategy, Operations, Communications Plans
Recognized Data Value
Scorecard and Maturating DM Practices
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1 Source: Copyright © 2017 DAMA International
DMBOK2 - Technics Publications, Basking Ridge, New Jersey, USA
Suppliers
Business Executives
Data Stewards
Data Owners
SME
Maturity Assessors
Regulators
Enterprise Architects
Participants
Steering Committee
CIO, CDO, CD Stewards
Data Stewards, Data
Architects, DM Professionals
Data Governance Bodies
Compliance, Audit Teams
PMO
Consumers
Data Governance Bodies
Project Managers
Compliance Team
DM Stakeholders
Business Management
Architecture Groups
Partner Organizations
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1 Source: Copyright © 2017 DAMA International
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Technical
Techniques:
methods, procedures
Messaging
Contact list
Logo
Drivers
Tools: software
Website
Glossary
Workflow
Document Management
Scorecards
Performance Metrics
Compliance to regulatory
and data policies
Value
Effectiveness
Sustainability
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1 Source: Copyright © 2017 DAMA International
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DG drivers focus on
Reducing risks: Risk management, Data Security, Privacy
Improving processes: Regulatory Compliance, Data Quality,
Metadata Management
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1 Source: Copyright © 2017 DAMA International
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DG Concepts
Data-centric Organization
Data Governance Organization
DG Operating Models (centralized, replicated, federated)
Data Stewardship
Data Policies
Data Asset Valuation
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1 Source: Copyright © 2017 DAMA International
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Data Governance Model
Chief Data Officer
Data Governance Steering Committee
Data Governance
Council
Data
Governance
Office
Enterprise Level
Division Level
Data Steward
Team
Committees
Subject Areas
Data Analysts
Data Owners
SMEs
Local Level
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1 Source: Copyright © 2017 DAMA International
DMBOK2 - Technics Publications, Basking Ridge, New Jersey, USA
Data Stewardship
Label to describe accountability and responsibility for data and
processes that ensure effective control and use of data assets.
Main activities
Creating and Managing Core Metadata
Documenting rules and standards
Managing Data Quality issues
Executing Operational DG activities
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1 Source: Copyright © 2017 DAMA International
DMBOK2 - Technics Publications, Basking Ridge, New Jersey, USA
Types of Data Stewardship
A steward manages data assets on behalf of others and in the
best interest of the organization (McGilvray, 2008)
Chief Data Steward/Officer
Data Owner
Executive Data Stewards
Technical Data Stewards
Enterprise Data Stewards
Coordinating Data Stewards
Business Data Stewards
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1 Source: Copyright © 2017 DAMA International
DMBOK2 - Technics Publications, Basking Ridge, New Jersey, USA
Data Policies
Data Policies are directives that codify principles and management
Creation
Acquisition
Integrity
Security
Quality
Use of data and information
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1 Source: Copyright © 2017 DAMA International
DMBOK2 - Technics Publications, Basking Ridge, New Jersey, USA
Data Asset Valuation
Process of understanding and calculating the economic value of
data to a any given organization
Data ONLY brings value when it is used
When it is used, data also creates costs related to risk
management
Value of Data = (Benefit Cost) of using data > 0
1 Source: Copyright © 2017 DAMA International
DMBOK2 - Technics Publications, Basking Ridge, New Jersey, USA
Data Asset Valuation - examples
Market Value
Identified Opportunities
Selling and Buying Data
Recovery Cost
Risk Cost
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1 Source: Copyright © 2017 DAMA International
DMBOK2 - Technics Publications, Basking Ridge, New Jersey, USA
Activities
1. Define DG for the Organization
2. Perform Readiness Assessment
3. Perform Discovery and Business Alignment
4. Develop DG Strategy
5. Define Goals, Principles, and Policies
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1 Source: Copyright © 2017 DAMA International
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6. Develop
Organizational
Touch Points
CDO
Budget Procurement
Funding
& Contracts
Policies
Procedures
Standards
Asset
Optimization
Regulatory
Compliance
DG Management
and Oversight
SDLC
Development Framework
Data Quality
Programs
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1 Source: Copyright © 2017 DAMA International
DMBOK2 - Technics Publications, Basking Ridge, New Jersey, USA
7. Define DG Operating Framework
Strategy, Vision, Oversight
Executive Council (COO, CFO)
Escalation, Resolution,
Oversight
Goals, Principles and Policy
Dev, Alignment, Sequencing
EDG Oversight
Stakeholders
DG Council
Policy
Stewards
Issues
Projects
DG Operations
Consumer Partner Product
DW ERP Analytics
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1 Source: Copyright © 2017 DAMA International
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Other Activities
8. Underwrite DM Projects
9. Engage Change Management
10. Engage in Issue Management
11. Assess Regulatory Compliance Requirements
12. Implement DG
13. Sponsor Data Standards and Procedures
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1 Source: Copyright © 2017 DAMA International
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14. Develop a Business Glossary
15. Coordinate with Architecture Groups
16. Sponsor Data Asset Valuation
17. Embed DG
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1 Source: Copyright © 2017 DAMA International
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3. TOOLS and TECHNIQUES
Online Presence / Websites
Business Glossary
Workflow Tools
Document Management Tools
Data Governance Scorecards
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1 Source: Copyright © 2017 DAMA International
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4. IMPLEMENTATION GUIDELINES
Readiness Assessment / Risk Assessment
Operating Plan and Enterprise-wide
Implementation Roadmap
Organizational and Cultural Change
Adjustment and Communication
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1 Source: Copyright © 2017 DAMA International
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5. Metrics
a.
Value
Contribution to business objectives
Reduction of risk
Improved efficiency in operations
b.
Effectiveness
Achievement of Data Governance goals and objective
Extent stewards are using the relevant tools
Effectiveness of communication
Effectiveness of education / training
Speed of change adoption
c.
Sustainability
Performance of policies and process
Conformance to standards and procedures
Conformance to regulatory requirements
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