The financial community is besieged by technologically-advanced fraud rings that operate in every corner of the globe. Effectively combating this growing threat requires lenders and financial institutions to adopt a fresh approach. Where once the industry could simply react to fraud; today’s sophisticated fraud networks require a more immediate, pro-active solution – one that employs the same the high-tech sophistication and data-sharing that fraudsters now employ. By combining next-generation technology with cross-industry data in originations and portfolio monitoring, several financial services organizations have developed comprehensive pictures of fraudsters and fraud rings – before significant losses were incurred. Join Glen Sgambati and Neill Haskin as they discuss actual case studies where cutting-edge technology and collaborative intelligence helped detect and eradicate fraud.

Strategies To Help Minimize Delinquencies & Reduce Costs Historically, organizations have used aging, balance and /or credit bureau scores to help drive collection strategies. Best-in-class organizations today, however, are using collection scoring examining the payment behavior of the customer. By incorporating statistical modeling and leveraging actual customer payment history, organizations can determine a validated probability of payment, as well as cash at risk. These models help organizations better allocate internal and external collection resources to improve cash flow and the management of collection costs. Attend this presentation to learn how Florida Power & Light implemented statistical modeling to help drive better collection strategies and minimize delinquency, bad debt and improve customer satisfaction.