metodologia-data-governance

What problem does it solve?

Data governance frameworks provide a complete blueprint to inventory, own, classify, retain, and protect data assets across complex, multi-domain estates, enabling trust, regulatory compliance, and faster decision-making.

Core Features & Use Cases

• Data Catalog & Discovery: architect and operate metadata catalogs with technical and business context, lineage, and a business glossary.
• Ownership & Stewardship: codify domain ownership, assign stewards, and establish RACI and governance councils for accountability.
• Classification & Sensitivity: implement tiered data classification aligned to privacy and security controls across domains.
• Retention & Lifecycle: define retention schedules, archiving, purging, and legal holds in a policy-driven approach.
• Privacy & Compliance: automate privacy workflows (DSAR), consent management, DPIA, and audit trails for regulatory readiness.
• Computational Governance: apply policy-as-code, data contracts, and federated governance patterns to operate at scale.
• Use Case: a regulated financial organization can deploy data contracts and policy-driven controls to ensure cross-border data transfers stay compliant.

Quick Start

Map assets, owners, retention policies, and contracts, then generate the S1–S6 artifacts to deploy governance.