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Big Data Boosts Business Agility For A Global Retail Giant Case Study
Case Study

Big Data Boosts Business Agility For A Global Retail Giant

Client

One of the largest hypermarket chains in the world with 12,300 self-service shops including 1,528 hypermarkets.

Industry

Retail
Case Study - Big Data Boosts Business Agility For A Global Retail Giant

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.

Impacts
Significant reduction in data loading time

5 minutes

Significant reduction in data loading time from 3 hours
Increase in the report update/refresh performance

90%

Increase in the report update/refresh performance
Reduction in TAT

30 seconds

Reduction in TAT for generating reports from 15-20 minutes
Achieved the ability to run ad-hoc queries

Achieved the ability to run ad-hoc queries for quick resolution of business issues
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