Insights from The Lab

Insurance Claims Transformation

Category: Insurance Claims Transformation


Advanced Analytics for Insurance P&C Claims: What can a Google map tell you with your operations data?

Answer: Tons more than you might think! You’ve probably heard a lot about business-intelligence, or BI, analytics. It’s also known as “advanced analytics” or simply “dashboards.” If you work in insurance, specifically property-and-casualty (P&C) claims, you need to know all about BI analytics. Whatever you’ve heard about BI analytics for P&C claims, it pales compared …

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How to reduce insurance claims leakage—and the loss ratio—via standardization, business intelligence, and robotic process automation (RPA)

Minimizing claims leakage, defining the solution, and a drilling down to specific examples within insurance claims processing In their search to boost profits and reduce their loss ratio, property and casualty (P&C) insurance carriers often turn to improving a cast of “usual suspects”: Sales, pricing, new product development, and a host of operational areas from …

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How to Implement Robotic Process Automation for Insurance Claims Processing – A Case Study in Standardization + RPA

A CASE STUDY IN LOW-RISK, QUICK-HIT À LA CARTE STYLE ROBOTIC PROCESS AUTOMATION IMPLEMENTATION FOR INSURANCE COMPANIES OF ALL SIZES Digitization was the hot trend in insurance not too many years ago, and the efforts continue today. What was revolutionary then—and seems quaint now—was the idea of taking paper forms that customers must fill out, …

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With business intelligence in insurance, companies can rise above their competition.

Applying Business Intelligence in Insurance: How to Improve Claims with BI Transformation

We see it all the time: Insurance companies are striving to get ahead in the field of business intelligence. They’ll invest, often heavily, in systems such as Oracle Business Intelligence, Microsoft Power BI, and so on… and yet they struggle to find the value from these investments. Why is that? Many times, it’s because they …

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