Data governance solutions that establish data ownership, quality standards, access policies, and compliance automation across your enterprise data estate. Not governance theater — actionable frameworks with clear owners, measurable quality metrics, and the tooling (Microsoft Purview, Unity Catalog, Collibra) that enforces policies automatically.
Most data governance programs fail because they create policy documents nobody reads, assign data stewards who have no authority, and measure success by committee meetings held instead of data quality improved. The result: 18 months of effort, zero improvement in data trust, and executives who conclude governance is bureaucratic overhead.
Effective data governance requires: clear data ownership with decision authority (not just documentation responsibility), automated quality monitoring (not quarterly manual audits), access policies enforced by technology (not honor systems), and metrics that matter to the business (report accuracy, regulatory compliance, time-to-insight).
We implement governance operationally — embedded into the data platform, not bolted on as a separate project. Microsoft Purview for data classification, lineage, and access policies. Databricks Unity Catalog for lakehouse governance. Fabric domains and endorsement for workspace governance.
Our data governance approach: data catalog deployment, ownership assignment matrix, quality rules automated at pipeline level, access policies enforced via platform (not spreadsheets), compliance dashboards for GDPR/CCPA/SOX, and the change management that builds data stewardship culture — not just compliance theater.
Data catalog, classification, lineage
Databricks governance at scale
Domain-based workspace governance
Enterprise data catalog and stewardship
Strategy, frameworks, and implementation.
Automated quality monitoring.
Platform and governance roadmap.
Our data governance solution covers strategy, architecture, implementation, and ongoing optimization. We bring consulting-led expertise through our network of 5,000+ pre-qualified specialists across 20+ technology domains — deployed in 4.3 days average.
We select technologies based on your requirements, not vendor preferences. Our consulting-led approach evaluates your current stack, team capabilities, and business objectives to recommend the right platform — whether that's Microsoft Fabric, Databricks, Azure, Salesforce, or other technologies from our 50+ platform expertise.
Yes. Pre-qualified data governance specialists from 200+ delivery partners. 4-stage consulting-led matching with 92% first-match acceptance rate. Senior to architect level, deployed in 4.3 days average.
Data governance solutions that work — policy frameworks, ownership models, and compliance automation embedded into your data platform.