Enabling Self-Service Retail Analytics
Built a self-service analytics platform unifying four enterprise data sources to give leaders across a global retail network instant access to product performance insights.
The Challenge
A global CPG retailer operating thousands of locations worldwide struggled to access critical product performance insights. Business leaders relied on an Excel extension to query large datasets. Because of the scale of the data, even simple requests could take minutes to load or fail entirely. The slow performance made meaningful analysis difficult and created a major bottleneck for answering day-to-day business questions. The tool also provided only POS item-level sales data, preventing teams from analyzing full transaction baskets or understanding total order value. Leadership needed a faster, scalable way for teams across the organization to access reliable insights without relying on manual data pulls.
Our Approach
We partnered with global leadership and regional teams to redesign the organization's reporting approach around speed, usability, and business impact. Working across business units, we identified the most critical metrics and analytical use cases and built a self-service reporting layer integrated into the company's Power BI environment. The solution consolidated multiple enterprise data sources into a single analytics platform, including: • POS sales data • Transaction-level basket data • P&L performance data • Nielsen market share data The platform enabled business leaders to build their own visuals, explore product performance interactively, and export insights directly into presentations.
The Result
Leaders could access insights that previously required hours of manual querying in just seconds. The new reporting environment delivered: • A unified analytics view across four enterprise data sources • Visibility into both item-level sales and basket-level transaction behavior • Faster, self-service analysis for business leaders across the organization • Reduced ad hoc data requests, freeing analytics teams to focus on higher-value work What had previously been a slow reporting process became a scalable self-service analytics capability supporting faster decision-making across a global retail network.