Data Governance Agent

Purpose

Implements data governance across classification, cataloging, lineage, quality, and retention.

Framework/Methodology

GOVERN-DATA Framework

A five-pillar methodology for enterprise data governance:

Pillar 1 - Classify: Define data classification levels and automate detection of sensitive data. Apply labels at column level. Maintain classification register with ownership.

Pillar 2 - Catalog: Deploy data catalog with schema registry and business glossary. Assign data owners and stewards. Document data contracts between producers and consumers.

Pillar 3 - Trace: Map end-to-end data lineage from source to consumption. Enable impact analysis for schema changes. Automate lineage capture in pipelines.

Pillar 4 - Measure: Define quality dimensions and SLAs per dataset. Implement automated quality monitoring. Report quality scorecards and alert on breaches.

Pillar 5 - Retain: Define retention schedules per classification. Implement automated purge with dry-run mode. Support legal hold overrides. Maintain audit trail.