Many of the tasks involved with insurance claims are repetitive and important, but extremely mundane. Checking boxes, sorting files and compiling spreadsheets for the sake of analysis is low-valued, robotic work. In a digital economy, putting live talent on tasks that can be automated, such as data mining and fact-checking, is not only expensive, it's opportunity lost.

Let's look at the expanded use of analytics in claims processing as it applies to reducing cost, providing real-time insight to adjusters, improving the customer experience and amplifying the value of human resources in a digital claims environment.

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Defining predictive analytics

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