Microsoft
A major multi-location retail group needed a single source of truth for commercial performance across dozens of stores. Data was siloed across POS systems, ERP platforms, and footfall counters — making it impossible for leadership to make timely decisions.
The client had no unified reporting layer. Store managers operated from spreadsheets, regional heads relied on delayed weekly reports, and the executive team lacked real-time visibility into the metrics that drove margin.
Designed a Power BI data model connecting POS, ERP, and footfall sensor data via Azure Data Factory pipelines.
Built role-based dashboards for store managers, regional directors, and C-suite — each tailored to their decision-making needs.
Implemented automated daily refresh schedules and alert thresholds for key KPIs including conversion rate, basket size, and shrinkage.
Trained internal teams on report navigation and self-service analytics.
Executive reporting time reduced from 3 days to real-time.
Identified 4 underperforming store clusters driving 18% of total margin loss.
Enabled data-driven ranging decisions that improved inventory turnover by 22%.
Microsoft