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.
Defining predictive analytics
Want to continue reading?
Become a Free PropertyCasualty360 Digital Reader
Your access to unlimited PropertyCasualty360 content isn’t changing.
Once you are an ALM digital member, you’ll receive:
- All PropertyCasualty360.com news coverage, best practices, and in-depth analysis.
- Educational webcasts, resources from industry leaders, and informative newsletters.
- Other award-winning websites including BenefitsPRO.com and ThinkAdvisor.com.
Already have an account? Sign In
© 2024 ALM Global, LLC, All Rights Reserved. Request academic re-use from www.copyright.com. All other uses, submit a request to [email protected]. For more information visit Asset & Logo Licensing.
