A connected practical toolkit for classifying data, understanding how it moves and changes, and embedding ownership, controls and evidence into normal delivery and operations.
Toolkit model
ClassifyUnderstand impact
and control baseline
and control baseline
TraceMap source, movement
transformation and dependency
transformation and dependency
GovernDefine ownership
controls and evidence
controls and evidence
Why these three pieces belong together
- Classification tells us the control requirement.
- Lineage tells us everywhere that requirement has to follow.
- The operating model defines who owns the decisions, controls and evidence over time.
Toolkit components
Data Classification & Governance Readiness
A risk-based model for classifying data and connecting the result to handling, access, retention, sharing and AI-use decisions.
Read the framework →Data Lineage & Dependency Mapping
A governance and architecture model for understanding source, movement, transformations, consumers, dependencies and provenance.
Read the framework →Data Governance Operating Model
A practical model connecting ownership, stewardship, quality, access, lifecycle, exceptions and assurance.
Read the framework →Core principle
Data governance becomes useful when it is connected to the way data actually moves through the organisation.