Data Governance Model Template
Defining ownership, stewardship, and accountability for data assets across the organisation
The Data Governance Model template provides a structured approach to defining ownership, stewardship, and accountability for data assets across the organisation.
Template Sections
This template includes 7 sections.
Data Governance Overview
Describe the data governance model: the governance structure, the roles (data owner, data steward, data custodian), and...
Data Governance Structure Diagram
Diagram section
Data Governance RACI
Map who is responsible, accountable, consulted, and informed for each data governance activity: quality management,...
Data Governance Checklist
Define the data governance checklist: data ownership assigned, quality rules defined, retention policies set, security...
Data Quality Gates
Define the quality gates for data: completeness thresholds, accuracy targets, freshness requirements, and the actions...
Data Governance Principles
State the principles: every dataset has an owner, quality is measured and enforced, data policies apply to all systems,...
Data Governance Risks
Document risks: data without owners, quality rules that are not enforced, governance that is too heavy for...
Section Details
Block Types Used
| Section | Block Type | Purpose |
|---|---|---|
| Data Governance Overview | Rich Text | Describe the data governance model: the governance structure, the roles (data... |
| Data Governance Structure Diagram | Diagram | Diagram section |
| Data Governance RACI | RACI Matrix | Map who is responsible, accountable, consulted, and informed for each data... |
| Data Governance Checklist | Governance Checklist | Define the data governance checklist: data ownership assigned, quality rules... |
| Data Quality Gates | Quality Gate | Define the quality gates for data: completeness thresholds, accuracy targets,... |
| Data Governance Principles | Principle | State the principles: every dataset has an owner, quality is measured and... |
| Data Governance Risks | Risk | Document risks: data without owners, quality rules that are not enforced,... |
Getting Started
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