Trupanion, a Seattle-based medical insurance provider for cats and dogs, needed to find data insights quickly. With only 1% of pet owners insured, the process of evaluating a claim to approve or deny payment was manual and time-consuming. Building accurate predictive models for decision-making required manpower, time, and technology that the small company simply did not have.
DataRobot Cloud, built on AWS, helped Trupanion create an automated method for building data models using machine learning that reduced the time required to process claims from minutes to seconds. Join our webinar to hear how Trupanion transformed itself into an AI-driven organization, with robust data analysis and data science project prototyping that empowered the company to make better decisions and optimize business processes in less time and at a reduced cost.
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Why you donít need to be an expert in data science to create accurate predictive models.
How you can build and deploy pr
Published By: Datarobot
Published Date: May 14, 2018
Founded in 2000, Trupanion is a Seattle-based company that provides allinclusive medical insurance policies for pet owners. A challenge for insurance companies is the need to quickly process claims to determine whether a claim should be paid automatically. In the comparatively small world of medical insurance for cats and dogs, however, only about 1% of pet owners hold insurance policies. Most veterinarians expect pet owners to cover the full bill for their petsí treatment, making the insurance claims process a manual and time-consuming effort.
Learn how Trupanion reduced ongoing IT costs while increasing staff utilization, sales and customer satisfaction. This case study and research conducted by Nucleus Research outlines how Trupanion, using Aspectís hosted contact center, achieved a payback in five months and an average annual benefit that exceeds $1.3M.
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