The problem
A national quick-service franchise lacked consistent reporting across hundreds of stores. Operators could not read variance quickly enough to act on it.
The solution
We implemented a governed Power BI semantic model with automated point-of-sale and operations ingestion, anomaly detection, and scheduled insight across store, regional and national layers.
The journey
- Built automated data flows with quality gates.
- Standardised KPIs so store-level comparisons were fair.
- Enabled variance analysis and anomaly flags for targeted coaching.
- Configured scheduled insight and subscriptions for operators and executives.
Outcomes
- Shorter decision cycles and earlier intervention.
- Less time compiling reports, more time coaching performance.
- A scalable onboarding template for new stores.