Case study 04 · Platform governance
Enterprise Microsoft Fabric & Power BI Governance Transformation
Moving a decentralised reporting estate to a controlled, scalable analytics operating model across global business units.
The challenge
A decentralised reporting environment allowed teams to work quickly, but direct edits in production, inconsistent workspace practices and shared capacity contention created operational risk. The organisation needed a governance model that improved control and auditability without stopping business teams from using Power BI and Microsoft Fabric effectively.
Control goal
Replace direct-to-production changes with governed release processes, clear workspace ownership and auditable change history.
Platform goal
Use capacity strategy, workload placement and central gateway management to improve reliability, supportability and cost control.
What was delivered
- An enterprise Fabric and Power BI governance framework covering workspace standards, ownership and production controls.
- DEV/PROD deployment architecture with deployment pipelines and pull-request based change management.
- Git-based version history and rollback capability to improve audit and compliance readiness.
- Capacity allocation, monitoring, optimisation and migration planning across workloads.
- Workspace inventory and governance-adoption reviews across business units.
- Centralised gateway management and a clearer operating model for business-critical reporting and self-service analytics.
Business value
- Reduced production risk by replacing direct edits with governed deployment and release management.
- Improved auditability through version-controlled change history, pull-request review and rollback.
- Reduced cost and improved performance through capacity optimisation, workload segregation and chargeback-ready allocation.
- Improved platform reliability while preserving scalable self-service analytics.
Technology
- Microsoft Fabric
- Power BI
- Git
- Deployment Pipelines
- CI/CD
- Capacity management
Commercial takeaway
For organisations already running Power BI at scale, the value was a safer, more governable way to operate Fabric, manage releases and control shared capacity — without taking self-service away from business teams.
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