Restoring trust in the governance catalog.
How a financial services organization could use Collibra Analyzer, the AI-powered governance intelligence product from Data Tiles, to diagnose governance drift, prioritize remediation, and rebuild confidence in its Collibra environment.
A Mature Catalog That Had Quietly Drifted
Financial services organizations rely on their governance catalogs to support regulatory reporting, risk management, and trusted decision making. Over time, even well-implemented Collibra environments can drift as teams change, operating models evolve, and new assets are added without consistent structure.
This example illustrates how a financial services organization could use Collibra Analyzer to assess the current state of its Collibra environment, identify where governance had drifted from the intended model, and prioritize the work needed to rebuild trust in the catalog.
A clearer view of governance health.
Visibility Into Governance Drift
Leadership gained a clear, prioritized view of where the Collibra environment had drifted from the intended operating model.
Faster, More Focused Remediation
Teams worked from a ranked list of issues by business impact and effort instead of debating where to start.
Restored Trust in the Catalog
Business users returned to the catalog as a reliable source of definitions, ownership, and policy context.
Stronger Foundation for Regulation
A cleaner governance model improved confidence in regulatory reporting, lineage, and policy enforcement.
Governance That Looked Healthy on the Surface
On the surface, the catalog was active and widely populated. Underneath, the governance team suspected that years of additions, restructures, and shifting ownership had introduced inconsistencies that were quietly undermining trust. Business users were increasingly reluctant to rely on the catalog, and regulatory teams wanted stronger evidence that policies were consistently applied.
The challenge was not a lack of governance investment. It was a lack of visibility into where the environment had drifted and which issues to address first.
An AI-Powered Diagnostic of the Collibra Environment
The organization could connect Collibra Analyzer to its Collibra instance through a secure API connection, with no data extraction and minimal disruption to operations. Analyzer would review communities, domains, asset types, metadata, relationships, ownership, and policies, then produce prioritized recommendations ranked by business impact, remediation effort, and governance maturity impact.
Structural Inconsistency
Inconsistent asset types, duplicated domains, and operating model gaps had accumulated across communities over several years.
Metadata and Context Gaps
Required fields were incomplete, business context was missing, and definitions varied between teams.
Stewardship Ambiguity
Steward assignments were inconsistent and accountability gaps made it unclear who owned which asset.
Policy Coverage Holes
Policies existed but were not consistently mapped to assets or connected to actual usage.
Lineage and Relationship Breaks
Lineage was incomplete, glossary links were sparse, and data product relationships were not fully captured.
Adoption and Trust Signals
Indicators of usability, searchability, and confidence highlighted why business users were avoiding the catalog.
A healthier governance baseline that the business trusts.
Catalog Health Restored
Targeted remediation across structure, metadata, stewardship, and policy lifted overall catalog health and consistency.
Governance Aligned to How the Business Works
The operating model was refined so that communities, domains, and ownership reflected real business responsibilities.
Higher Catalog Adoption
As trust returned, business users went back to the catalog for definitions, ownership, and policy context instead of working around it.
Readiness for Data Products and AI
A healthier governance baseline made the environment ready to support governed data products and downstream AI use cases.
Governance You Can Act On
Catalogs that are not trusted are catalogs that are not used. By giving the governance team a prioritized, AI-powered view of the issues that mattered most, Collibra Analyzer could help an organization shift from reactive cleanup to targeted, measurable improvement — and rebuild the catalog as the foundation for governed data products and AI.