predictive analytics

The three main use cases FRISS supports are: FNOL Fraud Detection – detects fraud during creation of the claim. For example, a staged loss or similar previous claim.  Referred to the Special Investigative Unit (SIU) – FRISS provides case management tools which allow the SIU team to assess alerts and manage the claims until its closure. Underwriting – fraud can be prevented by feeding back into underwriting claim history based on inputs like driver’s license.  ... Read More >
Big Jim owns a towing service, and his lot can store up to 100 vehicles. Every time there is a road accident in town, Jim gets a call to tow the vehicle. The vehicle then remains in his lot until he gets direction to transfer it to either a repair shop or a salvage yard.... Read More >
Can predictive analytics forecast if predictive analytics will transform the insurance industry?  If you were to ask someone ten years ago, you might have thought ‘yeah right.’... Read More >
While actuarial science has been leveraged for decades in insurance pricing, the industry stands to benefit greatly by both expanding the methods being used, and extending those methods to claims operations and underwriting. For example, predictive modelling can help with early identification of people whose injuries are likely to become more severe so that proactive action can be taken. However, using predictive analytics effectively across an entire business can be complicated.... Read More >
Why can’t the insurance business be more like Netflix? Or Tripadvisor or Booking.com?... Read More >
Of all the processes inherent to insurance, it could be argued that none are more important than the claims process. The general consensus is that claims typically account for up to 80% of an insurance company’s costs. When it is stated like that, 80% does not seem like an exceptionally large number.... Read More >
Whether you are fixing the kitchen sink, doing yardwork or cooking a meal, it is often essential to have the right tools for the right job. The same applies when it comes to predictive analytics. Solutions for business intelligence, data visualization, and reporting are very different to those for predictive analytics. It’s even important to use the right predictive analytics software, especially when it comes to analyzing insurance data.... Read More >