BANKING
“ As the complexity of the programme is growing , we focus on marketing automation , while keeping open a test-and-learn policy ” ELENA ZENINA CHIEF INNOVATION OFFICER IMAGENPAY machine learning .” Previously , developers were needed to preprocess data , generate features , define models , and validate them . As many institutions in financial services do not have large data science teams , BI tools have increasingly helped fill this void .”
Sophistication goes hand-in-hand with accuracy , he says . “ Gone are the days where BI tools provided simple visualization , now we are getting tools that provide more statistical modeling in an automated fashion . Over the next two years , I envision BI tools providing more personalization into the use cases we are looking to solve in financial services – churn , product recommendation , balance forecasting , just to name a few .”