Data Governance with Microsoft Purview

Governance must be usable

Data governance succeeds when it helps people find, understand, protect, and responsibly use information. A catalog alone is not enough; agencies need agreed definitions, ownership, stewardship, workflows, and integration with day-to-day engineering.

Establish a common view

Microsoft Purview can help organizations inventory data assets, scan supported sources, classify sensitive information, document lineage, and organize assets by business domains. A business glossary connects technical metadata to terms users recognize.

Connect governance to delivery

Governance should be embedded into data pipelines and modernization work. Source-to-target mappings, data-quality rules, access decisions, and lifecycle requirements should be documented as part of delivery. not reconstructed after deployment.

Prioritize high-value domains

Rather than cataloging everything at once, organizations can begin with mission-critical domains, high-use datasets, regulated information, or analytics products with known quality concerns. This produces visible value and helps refine the governance operating model.

Measure adoption

Useful measures include catalog coverage, lineage completeness, identified data owners, glossary adoption, unresolved quality issues, and time required for users to locate approved data. Governance is effective when users trust and use it.

Key considerations

• A catalog alone does not establish governance or adoption.
• Business definitions and ownership must connect to technical metadata and delivery workflows.
• Priority domains provide faster value than attempting to catalog everything at once.

Practical recommendations

• Begin with mission-critical, regulated, or high-use data domains.
• Integrate lineage, quality, access, and lifecycle decisions into engineering work.
• Measure adoption, ownership, issue resolution, and time to locate approved data.