Build Governance Bundle

Build Governance Bundle

When to Use

• User needs a full governance package, not a single artifact.
• Domain governance must be replicated from a reference pattern.
• Artifacts must stay consistent in scope, terms, roles, and metrics.

Orchestration Order

1. Apply question-driven-data-projects to anchor work on business questions and decision value.
2. Apply data-management-foundations to set DMBOK context and boundaries.
3. Apply data-governance to define operating framework and decision rights.
4. Apply governance-writing-style-guide.
5. Draft core governance flow with process-and-procedure-writing.
6. Draft controls-level steps with sop-writing.
7. Draft decision-level narrative with executive-summary-writing.
8. Build terminology base with business-glossary-management.
9. Define KPI governance with metric-governance.
10. Define trust controls with data-quality-controls.
11. Score current data quality and prioritize defects with data-quality-assessment.
12. Capture traceability using metadata-and-lineage.
13. Create leadership narrative structure with governance-ppt-deck-writing.

Required Inputs

• Domain name
• Business function
• Governance objective
• Primary audience
• Reference pattern or source material
• Required outputs
• Known metrics
• Known systems
• Known roles
• Known risks/issues
• Governance maturity level
• Tone

Bundle Outputs

1. Executive summary
2. Governance policy or addendum
3. High-level governance process
4. Detailed SOP
5. RACI / roles and responsibilities
6. Business glossary
7. Metric definitions
8. Data quality rules
9. Data quality assessment
10. Metadata and lineage template
11. Issue management procedure
12. Adoption/training notes
13. PPT deck outline or draft
14. Version history/change log

Output Template

# Governance Bundle: [Domain]

## 0) Bundle Inputs
- Domain:
- Business function:
- Objective:
- Audience:
- Maturity:

## 1) Executive Summary
...

## 2) Policy or Policy Addendum
...

## 3) High-Level Governance Process
...

## 4) Standard Operating Procedure
...

## 5) RACI
...

## 6) Business Glossary
...

## 7) Metric Definitions
...

## 8) Data Quality Rules
...

## 9) Data Quality Assessment
...

## 10) Metadata and Lineage
...

## 11) Issue Management
...

## 12) Adoption and Training Notes
...

## 13) Deck Outline
...

## 14) Version History
...

Quality Checklist

• All artifacts align to the same purpose and scope.
• Terms are consistent with the glossary.
• Metrics and controls are consistent across policy/process/SOP/deck.
• Ownership is explicit for each control and action.
• Decision asks are clear for executive audiences.
• Governance choices are traceable to DMBOK-aligned activities and maturity goals.
• Initial business questions and stage-gate decisions are traceable through every artifact.