bkjohn2018 Data Governance
When to Use
- Launching or re-structuring a data governance program.
- Defining governance councils, decision rights, and policy lifecycle.
- Formalizing business glossary, standards, issue management, and compliance.
DMBOK Governance Activities
Anchor plans to these core activities:
- Perform readiness assessment and business alignment.
- Define governance strategy and operating framework.
- Develop goals, principles, policies, and standards.
- Engage issue management and regulatory compliance.
- Sponsor glossary, procedures, and cross-functional touchpoints.
- Embed governance through change management and measurement.
Workflow
- Clarify scope, business drivers, and governance outcomes.
- Assess readiness across sponsorship, roles, process, tooling, and culture.
- Define operating model (council charters, RACI, decision rights, escalation).
- Establish policy and standards lifecycle (draft, review, approve, enforce).
- Stand up glossary governance, issue triage, and compliance tracking.
- Define scorecards and adoption metrics; run periodic maturity review.
Output Template
# Data Governance Operating Framework
## Scope and objectives
- ...
## Readiness assessment summary
- Sponsorship:
- Role clarity:
- Process maturity:
- Tooling maturity:
## Governance structure
- Council/forum:
- Decision rights:
- Escalation path:
## Policy and standards lifecycle
- Intake:
- Review:
- Approval:
- Enforcement:
## Operating mechanisms
- Business glossary:
- Issue management:
- Compliance controls:
## Metrics and maturity
- Adoption metrics:
- Control effectiveness:
- Next maturity targets:
Quality Checklist
- Governance scope is explicit and bounded.
- Decision rights and accountability are clear.
- Policies, glossary, and issue workflows are integrated.
- Metrics track both adoption and risk reduction.