Michael K. Chen
Robert J. Walling III
Roosevelt C. Mosley Jr.
Joseph A. Herbers
Laura A. Maxwell
Linda K. Brobeck
Radost Roumenova Wenman
Gary C. Wang
Team seemed to adapt to company specific needs very well
uses predictive analytics to help you better understand how key factors such as
reporting delays, vendors, independent adjusters, attorney involvement, injury
type and claimant characteristics impact your claims process.
Pinnacle helps insurers identify rating plan elements that can be more appropriately priced or added for additional risk segmentation.
Pinnacle can help you optimizing your use of credit-related characteristics to help you develop and maintain a competitive advantage.
uses lifetime customer value analysis to develop a long-term view of customer
value and determine how you can best use this information to make more
profitable long-term decisions.
Pinnacle’s predictive analytics team performs marketing analyses that help you more effectively target profitable new business.
Predictive analytics is a process of analyzing data at its most granular level to help unlock descriptive information to allow you to better segment, price, market and manage the products you write. Once considered just an innovative technique for the insurance industry, predictive analytics is now necessary for the success of personal and commercial insurers of all sizes.
Whether you need to determine how predictive analytics can help your organization or have been using predictive analytic techniques for years, we can develop specific predictive analytic applications or act as advisors to your predictive analytics practice. As recognized leaders in predictive analytics, pricing and underwriting, we have handled over 100 projects during the past ten years for insurers of all sizes, from four of the top 10 property and casualty insurance companies to small insurers. As a result, our nationally-recognized predictive analytics experts can help address your most critical pricing, underwriting, claims and marketing needs.
As part of Pinnacle’s ongoing commitment to knowledge transfer, we offer training so your team can learn how to apply basic and state-of-the-art predictive analytic techniques and develop basic and advanced applications. Our modeling tools are flexible and quick enough to perform applications in real time at your office, and our training walks you through the process to ensure your complete understanding.
Pinnacle provides you with substantial benefits from our predictive analytics solutions, which include:
Data Quality—Why Hygiene Matters
Authored by Greg Frankowiak.
Artificial Intelligence - Welcome Opportunity or Inescapable Challenge for Insurers?
Authored by Radost Roumenova Wenman.
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Pinnacle was approached by a regional insurer that wanted to develop a predictive model that estimated the time that a claim would be open based on what is known at the first notice of loss. The company felt like this would allow them to more effectively manage their caseload and handle claims more proactively. Pinnacle, through the use of predictive modeling, assisted the carrier in designing a model which predicted cycle time based on the FNOL. Not only did this give the company a better understanding of its claims, but also assisted them in understanding their claims data better and improving their data collection.
Pinnacle was approached by a national insurer that wanted to develop a more sophisticated commercial automobile rating program. Their current commercial automobile plan was a traditional rating approach and did not take full advantage of driver, credit scoring or vehicle characteristics and the company felt they could take advantage of a significant opportunity in the market. Pinnacle, through the use of predictive modeling, assisted the carrier in designing a new rating and tiering structure, which included modifications of the rating plan, the introduction of underwriting scoring, and new territory definitions. This new structure allowed the company to have more precise rating, more adequate and yet competitive rates for a broader spectrum of risks.
Pinnacle was approached by a national insurer that wanted to develop a more sophisticated homeowners rating program. Their current homeowners plan was a traditional rating approach and was only based on a few factors, and the company felt they were not taking full advantage of the potential in the homeowners market. Pinnacle, through the use of predictive modeling, assisted the carrier in designing a new rating and tiering structure, which included the introduction of by-peril rating and new territory definitions. This new structure allowed the company to be more precise in rating homeowners, resulting in more adequate and competitive rates for a broader spectrum of risks.
At Pinnacle, we partner with you to explore whatever path it takes to find the answers you need.
April 16, 2020
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