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Infinity Insurance Headquarters

EARLY DETECTION OF INSURANCE FRAUD

Infinity Property & Casualty Corp.

The objective for the first phase was to implement a batch scoring solution, which would use a combination of business rules and predictive modeling to identify potentially fraudulent claims that would need to be investigated further, and identify closed claims with potential for subrogation.

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At the conclusion of the first phase, the leadership at Infinity Property & Casualty were sufficiently comfortable with the solution and the benefits that it brought that a second phase was scheduled to extend the solution to scoring claims in real-time scoring during the first notice of loss and to using the same techniques to route claims to the appropriately skilled resources.

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The second phase of the project integrated a real-time scoring solution with the existing first notice of loss process at Infinity Property & Casualty to achieve 3 primary objectives:

  • Shorten the claim cycle by handling more claims in the first notice of loss area without involving field adjusters

  • Route claims with elements that might indicate fraudulent activity to the Special Investigations Unit at first notice of loss

  • Route claims that require complex handling to a team with sufficient experience to handle that type of claims


I was the lead Data Scientist on the project and primarily responsible for the design and implementation of the data management as well as the business rules used in the evaluation of the fraud risk and the potential for subrogation for the individual claim. I also worked closely with the business analysts at Infinity Property & Casualty to design the functional integration with the first notice of loss process as this included a number of new user interfaces for collecting additional data elements and identifying the points in the process that would trigger the real-time scoring.

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As a result of the implementation, Infinity Property & Casualty has doubled the accuracy of its fraud identification, contributing to a return on investment of 403% per a Nucleus Research study.

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While the project at Infinity Property & Casualty is the project for which the most detailed account is available, I have worked or consulted on a number of similar projects in both the US and in Europe including an early implementation of the solution at Alka Forsikring in Denmark, which helped us further develop the software that formed the foundation of these projects.

CASE STUDIES AND MEDIA COVERAGE

IBM Client Voices (April 23, 2014)

Infinity Insurance Company staking the claims process on predictive analytics

IBM helped Infinity Insurance transform the way agents handle and route claims, resulting in more satisfied customers. Predictive analytics is used to help Infinity address a number of challenges and opportunities. This transforms the way Infinity's agents handle and route claims, resulting in a lesser reliance on external adjusters, lower adjustment costs and - because claims are handled faster - more satisfied customers.

IBM Smarter Planet Leadership Series (May 6, 2011)

Infinity Property & Casualty

In his 25 years with Infinity Property & Casualty, all of it spent in the claims area, Bill Dibble hasn’t lost his enthusiasm for finding a better way to handle them. As he voices his ideas on how to improve claims processing, an evangelical quality comes through that has become familiar to his colleagues, both inside the company and across the industry.

IBM Smarter Planet Leadership Series (May 5, 2011)

IBM enables Infinity Property & Casualty Insurance to combat fraud

Video featuring Senior Vice President of National Claims Bill Dibble.
Smart is...combating insurance fraud with data. Infinity Property & Casualty, leveraged the IBM Big Data and Analytics platform to transform the way its agents handle and route claims. The solution resulted in a lesser reliance on external adjusters, lower adjustment costs and—because claims are handled faster—more satisfied customers.

IBM Case Study (March 25, 2011)

Smarter insurance

Infinity P&C implemented IBM SPSS Predictive Analytics solutions, immediately realizing significant benefit in terms of a reduction in claims payments and improved customer service.

Nucleus Research (September 2009)

ROI Case Study

Infinity Property & Casualty Corporation (IPACC) deployed SPSS to reduce its payments on fraudulent claims and improve its ability to collect payments from other insurance companies.
ROI:   403%

InformationWeek - Insurance & Technology (November 30, 2011)

Infinity Property & Casualty builds a smarter system for fraud

By using analytics to better identify claims least likely to require investigation, Infinity has achieved a 35.5 percent improvement in claims processing speed and has been able to improve customer satisfaction levels.

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©2018 by Kenneth A Jensen

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