Increasing customer satisfaction and reducing costs in property and casualty insurance

fasttrack_thumb

Discover how to apply IBM SPSS to predictive analytics that can make a difference in handling two key concerns for insurance companies: customer service and fraud. When a policyholder files a claim, the speed of response is one of the most important factors of customer satisfaction. In a recent survey cited in this report, 65 percent of customers said they considered changing insurers when it took more than 15 days to settle a claim. In contrast, only 8 percent considered changing insurers when it took between one and three days to settle a claim. Insurance companies can also leverage predictive analytics to detect and reduce fraud without negatively impacting the customer experience. Explore different use cases for managing risk, increasing profitability and improving effectiveness across your organization.

Profile Status
ACTIVE
Profile Info
 

Kalyan Banga203 Posts

I am Kalyan Banga, a Post Graduate in Business Analytics from Indian Institute of Management (IIM) Calcutta, a premier management institute, ranked best B-School in Asia in FT Masters management global rankings. I have spent 6 years in field of Analytics.

1 Comment

  • Margarita Reply

    August 11, 2017 at 11:46 am

    I like this web blog it’s a master piece! Glad I found this on google!

     

Leave a Comment

4 × two =