data-governance-policy

What problem does it solve?

Data organizations struggle to establish consistent governance across domains, requiring clear stewardship, quality standards, access controls, lifecycle management, and lineage visibility to meet regulatory demands.

Core Features & Use Cases

• Stewardship: assign data owners, stewards, custodians, and consumers per data domain.
• Quality standards: define metrics for accuracy, completeness, timeliness, consistency, validity, and uniqueness with SLAs.
• Access control: policy-driven access based on data classification, roles, and declared purposes.
• Lifecycle: define creation, active use, archive, and destruction with retention rules.
• Lineage: document data origin, transformations, and destinations for traceability.
• Metadata catalog: establish a discoverable catalog for data meaning, owners, and quality metrics.
• Change management: schema change approvals, impact analysis, deprecation notices, and communications.
• Issue management: logging, root-cause analysis, and preventive measures.
• Regulatory alignment: GDPR, CCPA/CPRA, HIPAA, SOX, and sector-specific regulations.
• Rollout plan: phased adoption across data domains.

Quick Start

Define and publish a data governance policy covering stewardship, quality, access, lifecycle, lineage, metadata, and change management to establish baseline governance.