Boston, May 5, 2014 – It is an understatement universally acknowledged that while gathering business intelligence data is easy, analyzing that data is a lot harder. Despite being effective accumulators of underwriting-related data, commercial lenders are poor analyzers of such data sets—a very costly inadequacy for commercial lenders managing credit. But banks could avoid a significant volume of credit deterioration by using capabilities and better analyzing data they already have.
Based on a recent survey of 100 commercial banking professionals and another Aite Group survey related to predictive analytics and the automation of commercial loan underwriting, this Impact Note identifies the analytics-related capabilities gap at commercial lending operations, shows how analytics can help banks mitigate losses, and briefs vendors on how to support banks' adoption of their technologies.
This 14-page Impact Note contains four figures and four tables. Clients of Aite Group's Wholesale Banking service can download this report.