Banking and Finance

With business getting an overwhelming response, the customer base and associated data sources started to grow exponentially. The company had been collecting large volumes of data every day and the time taken to segment one customer was three days. This made the campaign department handicapped in pushing any new campaigns on a focused note, and the only option was to do a mass campaign on random customers, expecting the conversion ratio to go up.

SOLUTION

The IZAC framework was deployed by Whiteklay on the Hadoop architecture, revolutionising the existing data models and warehousing architecture of the client in a manner that resulted in the same customer segmentation happening in 20 mins with a mere 10 node distributed computing setup, which earlier used to take 3 days. The solution utilised the power of Hadoop over Spark computing and processing framework and in-memory database caching techniques.