Reduce Current Expected Credit Losses with Search & AI-Driven Analytics

During these times of economic uncertainty, financial lenders must evaluate the likelihood of loss due to a borrower defaulting on a loan or not meeting contractual obligations. By properly assessing and managing risk, lenders can lessen the severity of a loss.

A flexible approach to analysis is needed now more than ever to identify high risk areas, and predict which borrowers and loans have the greatest chance of defaulting in order to properly plan for expected credit losses.

In this solution brief, you will learn:

  • How ThoughtSpot helps loan and risk teams identify the most at-risk borrowers, quickly and easily
  • Ways your bank can more accurately calculate loan provisions and better engage with customers to maximize actual loan performance
  • How a Top 10 US Bank is leveraging granular analytics to reduce CECL regulatory risk