Data Governance
When the right data reaches the right person with the right context, business decisions improve. We help you build a data governance practice on Microsoft Purview that makes data discoverable, trusted, and properly controlled without creating a bureaucracy that slows the business down.
Three things we focus on.
Microsoft Purview data catalog
Scan, classify, and catalog your Azure data assets. Business glossary, data lineage, and sensitivity labels so consumers can find what they need and trust what they see.
Data quality and lineage
Define quality rules the business agrees on, measure them consistently, and surface lineage so anyone can trace a number back to its source.
Access and security controls
Role-based access, column-level security, and sensitivity classification enforced at the platform level. Compliance controls that hold up to audit without requiring manual review every quarter.
Whatever shape fits the work.
Stand up Microsoft Purview, scan your core data assets, and define the first set of classification and quality rules.
Build on an existing Purview deployment: expand lineage coverage, add business glossary terms, enforce access policies.
Focused sprint to document data lineage, tighten access controls, and produce the evidence package an audit requires.
What we get asked to do.
- Deploy and configure Microsoft Purview for an Azure data estate
- Build a business glossary with cross-functional stakeholder participation
- Implement column-level sensitivity labels and data classification policies
- Design role-based access controls for a multi-team analytics environment
- Build data lineage tracing from source systems through to Power BI reports
- Prepare a governance evidence package for SOC 2 or HIPAA audit
- Expand Purview coverage to additional data domains after initial deployment
- Resolve a self-service vs. governance tension with concrete tooling and policy
What we bring to data governance.
Purview as a working tool, not a checkbox
We implement Microsoft Purview so people actually use it: scanned assets, a business glossary the data consumers helped write, and lineage that traces a report number back to its source.
Business participation built in
Governance programs that engineers build without business involvement do not hold. We facilitate the workshops, glossary reviews, and stakeholder sign-offs that make a governance program stick beyond launch.
Compliance-ready from day one
Data lineage documented, access controls enforced, and sensitivity classifications applied in a way that produces the evidence package your auditors need (SOC 2, HIPAA, ISO 27001) without an emergency sprint before each audit.
Access controls that scale
Role-based and attribute-based access designed so adding a new team, a new data domain, or a new sensitivity level does not require a manual review and configuration change every time.
What clients typically see.
Ready to talk about data governance?
Tell us what you are trying to change. We will either be useful, or point you to who would be.