Unified Data and AI Governance

Enterprise AI needs more than powerful AI models and smart algorithms. It needs trusted, governed data and clear accountability. Most initiatives stumble and even fail when organisations can’t keep ownership, risk, compliance and trust aligned as the number of use cases grows.
The outcome is familiar: inconsistent definitions, uneven data quality, weak visibility, uncontrolled access, and governance fragmented across teams and tools.
Collibra supports unified governance for data and AI by connecting governance to the assets and decisions that matter: who owns what, what it means, what’s approved, and what’s safe to use and share etc. In practice, this improves AI reliability with governed data, strengthens traceability through documentation and lineage, and makes compliance repeatable across domains and stakeholders.

Data governance doesn’t fail because people don’t care — it fails because teams can’t see what data they have, what it means, or who relies on it.

With Collibra, you can build a trusted foundation by connecting three essentials: a business-friendly data catalog, measurable data quality, and end-to-end data lineage. Lineage maps how information moves and transforms across systems, so you get immediate visibility into where it came from, where it is now, and where it’s going — not as static documentation, but as visualised flows and dependencies.
That visibility makes governance practical: faster impact analysis, quicker root-cause investigation when data quality breaks, and clearer accountability across business and IT.