What It Is
Data governance defines who owns each dataset, who may access it, how quality is measured, how long data is kept, and how changes are tracked. It also covers compliance with regulations such as GDPR.
Key Points
- Data catalogs: describe every dataset in one place.
- Lineage: shows where data came from and how it changed.
- Access control: role-based permissions protect sensitive data.
- Quality checks and audit logs: automated validation and traceability.
Why It Matters
Without governance, analytics and AI results are hard to trust, and a single quality problem can spread quickly through downstream systems.
How ClearLeaff Applies It
We treat governance as part of pipeline design, not an afterthought. Our platforms include end-to-end quality checks and controls that produce BI-ready datasets that teams and AI models can rely on.