Case Study: Fortune 100 Financial Customer Company achieves 1200x execution speedup and 5% accuracy improvement in micro-targeting with EdgeVerve

Customer Acquisition Via Micro-Targeting

Fortune 100 Financial Customer Company wanted to deploy a micro-targeting marketing application to extend high-end credit card offers to high-net-worth individuals, but their legacy analytics—running on a 100-node Hadoop cluster (1,200 cores)—suffered from slow execution and limited accuracy. They engaged EdgeVerve to modernize the analytics stack and deliver a solution tailored for micro-targeting.

EdgeVerve implemented an analytics solution that ran on a single node (12 cores) and delivered a 12.5x execution-speed improvement; with near-linear scalability across the customer’s 100-node Hadoop cluster EdgeVerve estimates roughly a 1,200x total speedup. The work also produced a 5% accuracy improvement, removed legacy system pain points, and enabled analysts to build models instead of writing software, translating into significant financial gains.