Case Study: Reckitt Benckiser achieves data-driven decision-making and cost savings with Microsoft Power BI

Reckitt Benckiser empowers employees to work smarter using big data

Reckitt Benckiser, a global consumer goods company, needed to give its 40,000 employees timely, actionable insights from both internal and third‑party data. Their prior AWS-based BI setup and third‑party visualization tool suffered performance and mobile‑usability problems, making it hard for sales, marketing, and product teams to find what to do next. Reckitt Benckiser worked with Microsoft Power BI (and Microsoft Azure services) to rethink its analytics approach.

Using Microsoft Power BI together with Azure Data Factory, Blob storage, Data Lake Store, HDInsight, Azure SQL Data Warehouse, and Azure Analysis Services, the vendor delivered an end‑to‑end analytics platform in six months. The new solution reduced licensing and maintenance complexity, paid for itself in first‑year savings, and put intuitive Power BI Pro reports on salespeople’s smartphones so teams can see weekly SKU sell‑through and act quickly. Microsoft Power BI thus made data more accessible, stabilized RB’s BI platform, and unlocked faster, data‑driven decisions across the business.

Reckitt Benckiser

Wilmer Peres

Information Services Director, Big Data and Analytics