data-governance-policy

A comprehensive data governance policy aligns with GDPR by defining per-domain stewardship, role-based access controls, lifecycle retention rules, and lineage traceability. It guides policy creation to ensure regulatory compliance across technical and organizational workflows.

Data lineage documents data origin, transformations, and destinations for end-to-end traceability. Within a governance framework, it integrates with metadata cataloging and stewardship assignments to ensure data quality and regulatory compliance.

Assign data stewardship by designating data owners, stewards, custodians, and consumers per data domain. This establishes clear accountability for quality metrics, metadata cataloging, and issue management across technical workflows.

Yes, role-based access control supports CCPA compliance by enforcing policy-driven access based on data classification, roles, and declared purposes. This approach scales across sector-specific regulations like HIPAA and SOX.

The best way to manage schema changes is implementing change management protocols with approval workflows, impact analysis, and deprecation notices. Issue management requires logging, root-cause analysis, and preventive measures.

You need a formal data lifecycle and retention policy when managing data through creation, active use, archiving, and destruction stages. This ensures compliance with regulatory retention rules and supports metadata cataloging.