Insurance

Predictive Analytics for
Insurance

Maximise your customers’ value and minimize claims risks/costs by integrating real-time analysis into existing systems and processes.

In today’s volatile market, insurance claim losses and unprofitable customer relationships can quickly overwhelm an insurance provider. To transform these potentially costly challenges into opportunities, many insurance companies are harnessing advanced analytics to improve their daily operations.

Eight out of 10 telecommunication services companies on the S&P 500 use software from SPSS.

Standard & Poor’s

Predictive Analytics for Insurance

In today’s volatile market, insurance claim losses and unprofitable customer relationships can quickly overwhelm an insurance provider. To transform these potentially costly challenges into opportunities, many insurance companies harness advanced analytics to improve their daily operations.

Predictive analytics for insurance can help you maximise your customers’ value and minimise claims risks/costs by integrating timely analysis into existing systems and processes. Predictive analytics solutions can assist with marketing and customer experience challenges and fraud detection and prevention solutions. 

Primary Analytics Solutions for Insurance

Design the analytical solution that is best for your business. 

“Our people at the front lines taking claims are now making decisions that adjusters in the field would have made in the past. To make it work, we needed to balance that extra empowerment with a greater degree of accountability—and employees who were comfortable with that new balance.”

Bill Dibble, Infinity Property & Casualty

“With predictive analytics, we were basically able to close a hole in our pocket where money was leaking out steadily. We were also ready to show that this was just the beginning.”

Bill Dibble, Infinity Property & Casualty

“IBM SPSS predictive analytics software has given us the means to learn systematically from our experience. By learning from the history, we can know today who will buy a given product in the future.”

Ola Gistafsson, Länsförsäkringar
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Insurance Case Studies

SPSS Advanced Analytics & Deployment
Case Study

Case Study – Lansforsakringar

Insurance | Market Research | Modeler

Länförsäkringar wanted a more systematic way to analyze its wealth of customer data and to generate insights that would help optimize marketing campaigns and other customer interactions. Länsförsäkringar implemented IBM SPSS predictive analytics software to analyze large quantities of data from various data sources and effectively identify different patterns of customer behavior

Case Study

Case Study – Insurance Bureau of Canada

Claims Management | Insurance | Modeler

The insurance industry is constrained by the manual and ad hoc approach to detecting and investigating potential fraud. To address its objective of automating the detection of potential claim fraud and the identification of possible fraud rings, IBC engaged IBM to perform a Proof-of-Concept project using IBM® InfoSphere® Identity Insight and IBM SPSS® Modeler. The benefit IBM POC quickly found suspects and their claims reducing investigation efforts; found a previously unidentified suspect fraud ring; and gathered more information against suspected fraudsters with a higher degree of confidence.

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Version 1’s SPSS experts can consult and deliver a wide variety of analytics solutions across a broad range of industry sectors.  Find out more at the links below.

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