If you’re in state government, you're well aware of the unprecedented challenges that come with off-the-charts unemployment numbers due to COVID-19. Crashing websites at state unemployment insurance offices and multi-hour phone hold times for the millions of people who've lost their income due to the pandemic are only the most
Over the years I have written many blogs about insurance fraud including those on anti-money laundering, data quality in fraud, anti-fraud technology, life insurance fraud and even ghost broking. It’s clear that insurance fraud comes in many shapes and sizes and as losses continue to grow, detecting and preventing fraud
“Garbage in, garbage out” is more than a catchphrase – it’s the unfortunate reality in many analytics initiatives. For most analytical applications, the biggest problem lies not in the predictive modeling, but in gathering and preparing data for analysis. When the analytics seems to be underperforming, the problem almost invariably
If you buying or selling a house. The relator will tell the value of the property is all about location, location, location. For insurance companies location is just as important. For an underwriter assessing the risk on a property is essential that they consider the location of the property. How
Last week, I was fortunate enough to attend the Insurance Networking News Analytics Symposium. This great event had several engaging speakers. As analytics becomes more prevalent within insurance, it was refreshing to see that many organizations discuss their successes and share best practices in this essential aspect of the business.
