Multi-Brand QSR Group Unifies 5 Data Sources Into a Microsoft Fabric Product Performance Platform
A multi-brand QSR group consolidated 5 disconnected data sources into a single Microsoft Fabric product performance platform. Product launch insights moved from 5 business days to next-morning. Cross-system reconciliation effort dropped 60 percent. 23 legacy reports were retired and replaced with governed Fabric semantic layer reporting. AI accelerators ran across the entire build lifecycle.
QUICK FACTS
| Industry | Quick-Service Restaurants (Multi-Brand) |
|---|---|
| Engagement type | Greenfield product performance platform |
| Source systems | 5 disconnected operational and POS systems |
| Target platform | Microsoft Fabric |
| Brands consolidated | Multiple QSR brands under one group |
| Timeline | 12 weeks |
| Launch insight latency | 5 business days reduced to next morning |
| Reconciliation effort reduction | ~60% |
| Legacy reports retired | 23 |
| Accelerators used | Forward Engineer, Metadata Intelligence, Code Conversion, MigrateTo Fabric |
CHALLENGE
The QSR group operated multiple brands with overlapping product catalogs, separate POS systems, separate loyalty platforms, and brand-level marketing systems. Product launch performance reporting was fragmented across systems. Each launch required manual cross-system reconciliation across 5 business days of work before insights could be presented to brand leadership.
Marketing and brand teams could not respond to launch performance quickly. The data team spent more time reconciling than analyzing. Legacy reports proliferated, none of them governed, many of them inconsistent across brands.
The QSR group needed a unified product performance platform that delivered next-morning insights from all source systems, replaced fragmented legacy reports with a governed semantic layer, and supported per-brand and group-level rollups.
APPROACH
3XDE deployed Forward Engineer, Metadata Intelligence, Code Conversion, and MigrateTo Fabric accelerators across the 12-week engagement.
- Source profiling across all 5 systems with cross-brand product master reconciliation
- Target Fabric architecture with bronze, silver, and gold medallion layering
- Conformed product, brand, and launch dimensional model
- Auto-generated ingestion pipelines for each source with daily processing
- Governed semantic layer with launch performance KPIs and brand-level rollups
- Legacy report mapping to identify retirement candidates and replacement views
IMPLEMENTATION
Weeks 1 to 3
Source profiling, product master reconciliation, target architecture, dimensional model.
Weeks 4 to 7
Auto-generated ingestion pipelines for all 5 sources. First pass at launch performance metrics. Governed semantic layer build.
Weeks 8 to 10
Cross-brand rollups, comparison views, brand leadership dashboards. Legacy report retirement analysis.
Weeks 11 to 12
User enablement, brand team rollout, legacy report retirement, sign-off with brand and group leadership.
RESULTS
- Product performance platform on Microsoft Fabric delivered in 12 weeks
- 5 disconnected data sources unified into a single governed platform
- Launch insight latency compressed from 5 business days to next morning
- Cross-system reconciliation effort reduced by approximately 60 percent
- 23 legacy reports retired and replaced with governed semantic layer reporting
- Per-brand and group-level rollups available out of the box
- Brand and marketing teams enabled with self-service launch analytics
WHAT THIS MEANS FOR YOU
This pattern applies to multi-brand or multi-business-unit organizations whose analytics are fragmented across operational systems. The compression from days to next-morning depends on auto-generated pipelines running from week 4 and a governed semantic layer replacing ad-hoc report sprawl.