USING TAILORED PREDICTIVE ANALYTICS TO INCREASE DEBT COLLECTIONS OVER MULTIPLE ASSET CLASSES
Paula Darling, CEO, MINED SYSTEMS, INC.
David R. Glezerman, AVP and Bursar, TEMPLE UNIVERSITY
Dealing with source data from Credit Grantors, Credit Card Debt Buyers, and Loan Servicers for various debt types and asset classes is challenging. Learn in three case studies how a debt buyer, a university, and a second mortgage company use predictive analytics models to bolster their collection efforts and maximize recoveries.