Big Data Boosts Business Agility For A Global Retail Giant
Retail
Listen to the Case Study
One of the largest hypermarket chains in the world with 12,300 self-service shops including 1,528 hypermarkets.
Challenges
The client wanted to store and process huge data and generate ad-hoc reports for proactive and timely decision making.
They wanted to automate analytics of heavy data volumes (Big Data) generated on a daily basis to gain actionable insights and reduce the TAT and improve the reporting cycle
Solution
After conducting a rigorous analysis of the client’s landscape, Datamatics implemented IBM Netezza Appliance to support Big Data storage and analysis requirements and SAP BODI to set-up a robust Extraction, Transformation, Loading (ETL) process and ensure seamless synchronization with the existing SAP system.
