Optimally leveraging predictive analytics in wholesale banking: The why and how

Myriad challenges beset wholesales banks today – heavy regulations, evolving customer needs, decreasing profit margins, increasing transaction volumes, massive competition from both traditional banks and the newer non-banking finance companies, increased high-tech financial crimes, and rapid technology changes, to name just a few. Managing these challenges requires timely and deeper insights on risks, customer relationships, costs, revenues, liquidity positions, and other key parameters. While, over the years, wholesale banks’ data analysis methods have evolved from basic reporting to descriptive BI applications and more investigative data mining, the next stage of evolution towards predictive analytics has not yet been reached. Optimally leveraging predictive analytics in wholesale banking: The why and how WhITe paper