A data governance framework defines the roles, policies, standards, and processes that manage data as a trusted enterprise asset. This is the Data Governance Framework from the Stratenity Library, a governed consulting deliverable that is already built for you. It gives your team the full working method for data governance, and it walks through everything from data ownership and the domain model to master and reference data management. Every asset ships with a worked client example, a clear RACI, defined KPIs, and governance you can defend, so your team adapts it to a live client engagement instead of starting from a blank page.
What this framework covers
This is a preview of the full deliverable. Inside the Stratenity Library, this framework walks a consultant through the complete method, section by section, with a worked client example threaded throughout.
- Governance Objectives and Operating Principles
- Roles, Stewardship and the Data Governance Council
- Data Ownership and the Domain Model
- Policies, Standards and the Governance Rulebook
- Data Quality Management
- Metadata, Catalog and Lineage
- Master and Reference Data Management
- Privacy, Security and Regulatory Compliance
- Data Lifecycle, Retention and Disposal
- Tooling, Automation and the Governance Technology Stack
- Metrics, Maturity and Assurance
- Roadmap, Operating Rhythm and Adoption
- Risks, Assumptions, Issues and Dependencies (RAID)
Review, download, and activate in 48 hours
Stratenity Library subscribers can review this framework in full, download it, and activate it into a governed, client-ready deliverable in 48 hours rather than weeks. Each asset ships with a worked client example, a clear RACI, defined KPIs, and governance you can defend.
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