Governed analytics platform on Microsoft Fabric
Replacing a set of isolated reports with a platform built on reusable layers, controlled access and a traceable path from source to decision.
Data arrived from cloud services and operational systems, but each audience needed a different view of the same set. The result was a collection of isolated reports, each with its own logic, no reuse and a rising maintenance cost.
The platform had to be reusable, secure and more sustainable than the sum of the reports it replaced. That meant separating ingestion from transformation and consumption, and making each stage traceable — without access control depending on manual configuration in every report.
- Ingestion via Microsoft Graph API through Fabric notebooks
- Python and PySpark transformations inside OneLake
- Bronze, Silver and Gold Lakehouse layers
- Reusable semantic models and Power BI reporting
- RLS driven by Entra ID security groups
- Deployment flow across DEV, UAT and production
- Resource and portfolio reporting, DMS analytics and automated email delivery
The path from source to decision became explicit: raw data stays traceable, transformation is reusable across consumers, and reports publish with controlled access and an acceptance environment ahead of production.
Have an operational problem to solve?
Describe the process that needs to evolve, or the decision your company needs data to support. We come back with an initial read and the next steps.