Fire Up Your Insurance Engine with Predictive Analytics
Are you looking to reduce your underwriting expenses and transform your claims process? Are technological advancements and cut-throat competition driving you to analyze and optimize your existing processes?
For a long while, process automation has been at the forefront in the insurance landscape, but now, the future of insurance will be shaped by behavioral intelligence and predictive analytics. In order to maintain a competitive edge, you must transform your traditional, rule-based framework into a data-driven, intelligent, and predictive system.
Let’s take an example of a modern insurance company that is disrupting the industry landscape. The company offers homeowners and renters insurance. It targets tech-savvy millennials—people with basic coverage needs, looking for a completely digital experience.
They hit the nail on the head by building a business model powered by artificial intelligence (AI) and predictive behavioral analytics. The insurer uses behavioral intelligence to measure their customers’ “digital body language” when they begin the application process all the way through to filing a claim. This incredible amount of data is leveraged to provide a world-class experience to its customers.
So, if you’re looking to transform your processes and tap into your target market share, predictive analytics is the answer.
Here are five areas where predictive analytics is projected to be influential:
Predictive analytics acts as underwriters’ virtual assistant. It analyzes historical data to rank risk parameters according to their significance and weightage. It also provides data-driven reports in a snapshot for efficient decision-making
- Insurance Pricing
With predictive analytics, you can dynamically adjust quoted premiums. By monitoring variables—such as claim history in an area, construction costs, and weather patterns—you can predict risk and set prices more accurately
- Claims Processing
Decision-making support through analytics can help you in accurately adjudicating claims. This will also facilitate in expediting the process and reducing errors
- Preventing Claims Fraud
Input claim parameters—such as a surge in claims during a specific month, previous matching claim amounts, the same surveyor being involved in multiple claims from the same area, etc.—can be compared with past records and an alert can be raised if anything unusual is detected. You must take advantage of any available data and convert it into actionable intelligence
- Improving Customer Loyalty
Predictive analytics can be used to anticipate the needs of your customers by analyzing their history and behavior. This information can also help you offer personalized products, better suited to their specific needs
Transform Data into Future Insights!
It’s time for you to focus on what the future holds for your organization. Predictive analytics has never been more important for insurers, and time is of the essence. Technology, and implementing it in a timely manner, is the best way for you to boost customer loyalty, increase market share, and thrive in a highly competitive market.
To learn more about how Newgen’s predictive analytics helps insurers, like you, click here.