Retail Data Organization and Analysis
We developed a robust analytics platform designed to monitor and analyse sales data for the client’s global network of outlets. The platform enables continuous performance evaluation of individual locations and helps make strategic real estate decisions. In addition to providing real-time visibility into outlet performance, the platform uncovers key dependencies between sales and a range of influencing factors, to guide operational strategies.
Key
Contributions
Data Aggregation
Integrated and streamed data into Google BigQuery from systems including:
- POS Transactions (TDM) - Real-time sales data
- Store Business Measures (SBM) - Performance tracking via on-prem SQL servers
- Regional Data Centre (RDC) - Keyed business data from on-prem storage
- Sales Audit Data - Historical validation records
Insights
Designed BI (Business Intelligence) models for structured reporting and analysis to deliver insights on:
- Sales Trends - Peak/off-peak periods, product performance
- Customer Behaviour - Purchase patterns for refining offerings
- Outlet Performance - Comparative analysis across drive-ins, kiosks, and in-store locations
The platform has become a critical decision-making tool for the client, enabling more informed and data-driven choices—particularly in capital-intensive areas such as new outlet expansion, relocation, and site retention. By adding insight to customer’s experience led intuition, the business can better align investments with observed performance drivers.
