Big Data Boosts Business Agility For A Global Retail Giant

In this episode, we explore how one of the world's largest hypermarket chains, operating over 12,300 self-service shops including 1,528 hypermarkets, enhanced its business agility through a big data solution implemented by Datamatics. The client faced challenges in storing and processing vast amounts of data, hindering timely decision-making and reporting. Datamatics addressed these issues by implementing the IBM Netezza Appliance for efficient big data storage and analysis, and SAP BODI to establish a robust Extraction, Transformation, Loading (ETL) process, ensuring seamless synchronization with the existing SAP system. This solution led to a significant reduction in data loading time from 3 hours to just 5 minutes, a 90% improvement in report update performance, and a decrease in turnaround time for generating reports from 15-20 minutes to 30 seconds. Additionally, the client gained the ability to run ad-hoc queries for quick resolution of business issues.​Datamatics🔗 Read the full case study here: https://www.datamatics.com/resources/case-studies/big-data-boosts-business-agility-for-a-global-retail-giantTune in to discover how leveraging big data solutions can dramatically enhance business agility and decision-making in the retail industry! 🎧🛍️

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