Advanced decision management analytics is used in many areas of business today, resulting in millions of dollars in new revenue and/or expense reduction, including fraud loss mitigation.
In some cases, implementation of these analytics strategies can be a challenge. From a tidal wave of big data to a lack of proficiency with sophisticated software, some projects just seem to stall out and never get up and running.
It doesn't have to be that way! In this webinar, we'll review cases in which decision management analytics software has been successfully implemented to detect and prevent fraudulent payment activity.
Discussion points include:
- Validation of third-party NSF models.
- Determining check float criteria based on consumer behavior models.
- Fraud loss mitigation modeling that includes payment patterns and attributes.
- Collections call routing based on propensity to pay.
- Forecasting detailed profitability components, including fraud loss.
Manager, MIS Profitability & Risk
Since 2005, Rex Pruitt has worked for Premier Bankcard, the 10th-largest issuer of Visa and MasterCard credit cards in the US. In his current role, he's responsible for marketing analytic support, portfolio data mining, predictive modeling, and staff and project management. He is very active in SAS® Users Group leadership, serving on special interest, regional, local and internal boards of directors, including IFSUG, MWSUG, SDSUG and PBSUG.
Pruitt holds a BS in marketing management from Bellevue University in Nebraska. His passion is studying corporate data and turning it into a revenue source.