Korea’s Hyundai Marine & Fire Insurance uses SAS® to detect fraud - Insurance News | InsuranceNewsNet

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December 13, 2010 Newswires
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Korea’s Hyundai Marine & Fire Insurance uses SAS® to detect fraud

Hyundai M&F will protect customers’ rights and interests through a scientific verification system for insurance fraud inspection

SEOUL, Korea--(BUSINESS WIRE)-- Korea’s largest non-life insurer, Hyundai Marine & Fire Insurance Co., Ltd., is ready to deploy a new fraud detection system that has been built with software from SAS, the global leader in business analytics software and services.

Hyundai M&F established a strong foundation for preventing costly fraud by implementing a fraud detection system developed by SAS that not only prevents claims fraud but will help enhance customer satisfaction and improve premium payment processing, thereby protecting its most profitable customers.

Hyundai M&F’s SAS fraud detection system combines business rules based on the experience and knowledge of its investigators with model rules generated from data extracted from various IT systems using SAS advanced statistical techniques. The models are applied to insurance claims, delivering results to claims investigators in real time. The system also monitors the performance of these rules, enabling the company to quickly modify existing rules or generate new ones. The predictive models enhance the process of fraud detection so Hyundai M&F can detect insurance fraud not just after it occurs, but prevent a fraudulent claim from being paid.

“With SAS providing the foundation for advanced insurance fraud management, we can maintain consistent and transparent criteria for investigation, automate the scoring system, and respond swiftly and flexibly to investigations and operations of the organization,” explained Cheol-woo Lee, the Hyundai M&F Claim Investigation Department team leader who oversaw the project. “In particular, this will improve the efficiency of investigation personnel who collect and analyze evidence data for suspected insurance fraud, preventing payment of unjustified claims, while protecting honest policyholders from insurance fraud.”

The project has been carried out in three areas: a fraud pre-detection system to help investigators judge the possibility of fraudulent activities using statistics-based model rules and business rules; a fraud post-detection system to detect afterward the characteristics of certain groups not detected with the prejudgment model; and a risk mart to generate data for prejudgment and post-judgment models.

“The damage from insurance fraud is not limited to the company; it also leads to increases in premiums, which affect many good policyholders,” said Mi-hye Song, Director of SAS Korea. “Using SAS software improves efficiency of analysts, who look for patterns of fraudulent claims and study evidence data for suspected insurance frauds. It also contributes to increased accuracy of fraud detection without increasing the number of investigators. The severity of insurance fraud and the benefits of SAS’ offering have led to its adoption by many Korean insurance companies, including Samsung Life, Kyobo Life and Korean Life.”

About SAS

SAS is the leader in business analytics software and services, and the largest independent vendor in the business intelligence market. Through innovative solutions delivered within an integrated framework, SAS helps customers at more than 50,000 sites improve performance and deliver value by making better decisions faster. Since 1976 SAS has been giving customers around the world THE POWER TO KNOW®. SAS and all other SAS Institute Inc. product or service names are registered trademarks or trademarks of SAS Institute Inc. in the USA and other countries. ® indicates USA registration. Other brand and product names are trademarks of their respective companies.Copyright © 2010 SAS Institute Inc. All rights reserved.

SASKris Balic, 919-531-0624, [email protected]
Visit the SAS Press Center
www.sas.com/presscenter
or
SAS Korea
Eva (Hyun-Min) Kim, +82 2 2191 7031, [email protected]

Source: SAS

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