Chapter 3 — Data Governance
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Fresh conversion: rebuilt from the current Google Drive Chapter 3 package. No superseded GitHub chapter prose was used.
DMBOK source boundary: DAMA-DMBOK2 Revised, Chapter 3 — Data Governance, printed pp. 69–98.
Exam weight: 11% major Fundamentals domain. This chapter receives deeper treatment than low-weight chapters because role distinctions, operating models, strategy artifacts, stewardship, policy/standards, issue escalation and the 17 activities are high-value exam material.
Study path
- Guided Learning Guide
- Exam Map & High-Yield Targets
- Visual Memory Map / Framework Atlas
- Comparison & Battle Cards
- Scenario Lab
- Chapter Question Bank
- Teach-Back & Blank-Page Recall
Artifact 08 remains performance-driven and should be created from actual learner misses, not prefilled.
The chapter in one paragraph
Data Governance is the exercise of authority and control over the management of data assets. It makes data decisions intentional and accountable through leadership, decision rights, operating structures, stewardship, policies, standards, issue paths, compliance mechanisms, measurement and sustained organizational adoption. Governance does not execute every Data Management activity and is not the same as IT governance or a software platform. Chapter 3 teaches how to define the function, assess readiness and business need, design the governance operating framework, establish roles and artifacts, change behavior, manage issues/compliance, implement foundational capabilities and then embed governance as a sustainable, measured part of normal operations.