From Checking Boxes to Proving Outcomes

Every governance program starts with a question: which data is actually critical to the business?

CDE Manager answers this question by identifying your critical data elements and translating business and regulatory policies into executable standards that are enforced across your data estate.

Instead of managing CDEs in spreadsheets and hoping teams interpret policies consistently, you declare the outcome once, and the system maintains it. The result: governance that starts with business intent and stays aligned as your data evolves.

Incomplete metadata is the primary blocker for enterprise AI and a primary source of compliance risk. Curation Automation addresses both.

Define what good metadata looks like, and purpose-built AI agents apply your standard everywhere. Every suggestion is previewable before execution. Existing values are preserved by default. All actions are fully auditable.

The metadata curation that used to take years now happens automatically, making your data AI and audit-ready.

Data quality issues don't announce themselves. They surface as failed campaigns, incorrect pricing, regulatory findings, or AI systems making decisions on bad data.

Alation Data Quality detects issues where they start: in the tables and pipelines that power your business. Automated validation, anomaly detection, and continuous monitoring are tied directly to your declared governance standards. When data drifts, the system catches it. When auditors ask for evidence, you have it.