Fighting Fraud: Predictive Technology to the Rescue Part 2

Published: June 4, 2014, 7 a.m.

The buzz: Fraud. As hard as you try to implement effective anti-fraud processes and tools, fraudsters work harder. Take heart! Predictive analytics technology can help you understand emerging fraud patterns and adapt against new types of attack. The tools continue to advance, but is your management team making analytics \u2013 and their insights \u2013 a high enough priority? The experts speak. Derek Snaidauf, Deloitte: \u201cThere are risks and costs to a program of action. But they are far less than the long-range risks and costs of comfortable inaction\u201d (John F. Kennedy). Michael P Cangemi, Cangemi Company: \u201cAn organization's ability to learn, and translate that learning into action rapidly, is the ultimate competitive advantage\u201d (Jack Welch). J\xe9r\xf4me Pugnet, SAP: \u201cThe median duration \u2013 the amount of time from when the fraud commenced until it was detected \u2013 for reported cases is 18 months\u201d (2014 ACFE Report). Join us for Fighting Fraud: Predictive Technology to the Rescue \u2013 Part 2.