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DAMA DM-BOK - Coggle Diagram
DAMA DM-BOK
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Data governance = oversight, Data management = execution(Goals & strategy, policies & standards, governance, implementation plan)
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- Define data governance for the organization
- Perform readiness (for change) assessment
- Perform discovery and business alignment (effectiveness of existing policies, guidelines and current DQ)
- Develop organizational touch points (=in which functions of the organization DG could give the most value)
- Develop data governance strategy (scope and approach: Why, who, what)
- Define the DG operating framework (operational how)
- Develop goals, principles, and policies (derived from strategy)
- Underwrite data management projects (promote WHY for DM projects)
- Engage change management (get everyone onboard)
- Engage in issue management (identify, quantify, prioritize, resolve)
- Assess regulatory compliance requirements
- Implement data governance (roadmap with time frames)
- Sponsor data standards and procedures
- Develop a business glossary
15.Coordinate with architecture groups
- Sponsor data asset valuation (way how to put value to data asset)
- embed data governance (budget, measure)
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Ethics around 3 concepts: Impact on people, potential for misuse, economic value of data
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- Data modelling and design
- Data storage and operations
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- Data integration and interoperability
- Document and content management
- Reference and master data
- Data warehouse and business intelligence
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- Big data and data science
- Data management and maturity assessment
- Data management organization and role expectations
- Data management and organizational change management
