Azure Data Governance

This tool models data governance for Azure environments, enabling policy definition, data classification, access controls, retention rules, and lineage tracking across data stores. It supports alignment with internal data policies and external regulatory requirements by capturing ownership, data sensitivity, and retention objectives in a structured model.
Core logic uses policy templates, asset inventories, and risk scoring to produce actionable governance outputs. Required inputs include asset metadata (name, type, location), sensitivity level, retention period, and responsible data owners. Optional enrichments include data classifications by domain and lineage links. Outputs include policy maps, data lineage graphs, risk scores, and audit-ready reports.
Audience includes data governance leads, security officers, data engineers, compliance managers, and cloud architects within Azure-based ecosystems. Unique differentiators are deep Azure asset mapping, automatic policy inheritance across related data sources, and scalable risk scoring that adapts to evolving regulations without manual reconfiguration.
Use cases cover asset cataloging, retention validation, access governance, and audit evidence generation. The tool supports scenario testing, what-if analysis, and export of governance artifacts for compliance programs. It is designed to integrate with Azure Purview and data catalogs, streamlining policy lifecycle across large, heterogeneous data estates.