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Home > Nia > Case Studies > Customer Acquisition Via Micro-Targeting


A Fortune 100 financial customer was looking to do a micro-targeting marketing application to extend high end credit card offers to high net-worth individuals. They were using a legacy system integrated with a 100 node Hadoop solution with 1200 cores. Despite the large system, the speed and accuracy of their existing analytics approach were major pain points.


With our solution on a single node and 12 cores, they were able to realize a 12.5x improvement in execution speed. When they scale this across their Hadoop cluster with 100 nodes, our near-linear scalability would provide about 100x that performance or 1200x execution speedup.


  • Remove pain points of existing legacy analytics system

  • 5% accuracy improvemen t translates to large financial gains

  • 1200x executions peedup

  • Allow their analysts to build models instead of writing software

Case Studies

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