
Date held: May 21, 2008
Hosted by: Insurance Networking News and SPSS
Duration: 1 hour
With the increasing sophistication of organized fraud rings, rising rates of identity theft, and an economic situation that tempts opportunistic claims fraud, the insurance industry needs better ways to detect fraud. Thats why many insurance carriers have turned to the science of predictive analytics. Predictive analytics can enhance a companys business rules to deliver a highly effective fraud detection system. And, because it is automated, predictive analytics also reduces the time, labor, and expense of fraud detection.
In this webcast, youll hear insurance industry and predictive analytics experts describe the measurable benefits that this technology has delivered, including:
-Accelerated identification of suspect claims early in the process
-Reduced false positives and increased accuracy for suspected fraudulent claims
-Faster claims processing for legitimate customers
-Improved productivity of SIU by referring only highly qualified cases
-Ability to detect identity theft, opportunistic claims fraud and suspicious activity commonly associated with fraud rings
-Ability to extract clues from claims and investigation notes for more accurate detection
If you are involved in claims processing, fraud investigation, or improving claims customer satisfaction, be sure to register now and join us on May 21, 2008 at 12:00PM ET for this valuable webcast.
Featured Speakers:
David West
Research Area Director, Insurance
TowerGroup
Richard Hren
Director of Product Marketing
SPSS
For more information on related topics, visit the following channels:
Data Management Archive
Enterprise Technologies Archive
Technology & IT Management Archive