Microsoft Data Governance
Govern data across your estate with Microsoft Purview, repeatable standards, and Fabric IQ foundations for semantics and knowledge graphs.
Data Governance Overview
Solv Systems helps you design and implement a Fabric-first data platform that is secure, reliable, and built for change. We focus on foundations: a clean platform structure, sensible standards, and practical governance.
We use a proven, test-driven metadata and medallion architecture standard in Microsoft Fabric to deliver quick, secure, and reliable wins.
Governance Highlights
- Governance strategy and adoption framework
- Purview setup and data catalog
- Labels, DLP, and compliance controls
- Lineage and end-to-end visibility
- Master data and domain ownership
Fabric Governance Capabilities
Practical foundations for a secure and trusted data estate
Governance Operating Model
Define clear ownership, decision rights, and lightweight standards that make governance enforceable and measurable.
Purview Catalog and Domain Model
Organize domains and the catalog so data is easy to discover, understand, and own at scale.
Purview Scans & Classification
Automate scanning, naming, ownership capture, and classification so metadata stays consistent and current.
Fabric-Aligned Governance & Information Protection
Align Purview governance to Fabric workspaces and OneLake structures, with practical access patterns and protection controls for analytics content.
Benefits of Governance
Build trust and reduce risk with practical data foundations
Reduced Risk
Protect sensitive information with automated discovery and clear governance guardrails.
Improved Discovery
Help teams find and reuse trusted data faster, reducing duplicated effort and logic.
Enterprise Trust
Build confidence in your data products through clear lineage and ownership.
Governance FAQ
Common questions about our data governance services
Related Insights
Data Governance in Microsoft Fabric with Microsoft Purview
Data governance in Microsoft Fabric is built on Microsoft Purview, covering data cataloguing, lineage tracking, access policies, and sensitivity labels. Here is how it works in practice.
We Can't Trust Our Own Numbers: Fixing Data Quality for Good
When every report ships with a caveat and every figure gets double-checked, poor data quality is taxing the whole business. How a governance and quality framework rebuilds trust.
Power BI Row-Level Security: A Complete Guide
Row-level security in Power BI controls which data each user sees within the same report. This guide covers static RLS, dynamic RLS, object-level security, and common implementation pitfalls.
Ready to Secure Your Data?
Discuss how practical governance can protect your enterprise while enabling data scale.
Book Your Free Consultation