Case Study: Largest Hypermarket Chain achieves rapid Big Data insights and 90% faster reporting with Datamatics

Global Retail giant boosts business agility through faster insights from Big Data

Largest Hypermarket Chain, a global retail leader with revenues over $100 billion, struggled with massive daily data volumes, slow report turnaround and dependency on IT for ad-hoc insights. Datamatics recommended and implemented a Big Data platform using an IBM Netezza Appliance and SAP BODI to integrate with the client’s SAP ERP and consolidate multiple data marts for faster, reliable analytics.

Datamatics migrated four key data-marts, secured the data transfer with zero loss, and optimized ETL and reporting workflows; as a result data load times fell from about 3 hours to a few minutes, report refresh performance improved by 90%, and report generation dropped from 15–20 minutes to a few seconds. The Datamatics solution added role-based security, enabled ad-hoc queries for business users, and delivered faster analytics-driven decision making across the organization.