Trust in the numbers, engineered: ownership and definitions settled, quality rules automated in the pipeline, monitoring that catches drift before executives do, sized for your organization rather than imported from a bank.
The same disciplined framework behind our enterprise migrations: documented, validated, and led by senior expertise from start to finish.
Inventory every report, data source, and dependency. Usage analysis identifies what actually matters.
Retire duplicates and unused reports. Typically 30 to 50 percent never need migrating.
Rebuild on Power BI and Fabric with governed semantic models and validated outputs.
Workspaces, row-level security, certified datasets, and documented standards.
Training and handover so your team owns the platform, not a vendor.
A free 30-minute discovery call: bring your questions about data governance and data quality, leave with a clear next step and an honest read on effort and cost.
In the pipeline: validation at ingestion, reconciliation between layers, and threshold alerts in Fabric before bad data reaches a semantic model. The dashboard is where problems become visible, not where they should be found first.
Lighter than the frameworks suggest: clear ownership of critical datasets, agreed definitions, automated rules, and an escalation path covers most organizations. We size it to yours and resist ceremony.
At estate scale, yes: catalog, lineage, and classification pay for themselves. Smaller estates start with Fabric-native lineage and endorsement and grow into Purview when sprawl demands it.
Fewer reconciliation escalations, faster issue detection-to-fix, and quality scores per critical dataset trending on a dashboard leadership can read.
Tell us what you are working with. A senior specialist will respond within one business day.