Get more from your insurance audits with predictive analytics
Date: Wednesday, March 25, 2020
Time: 1:00 p.m. ET
Duration: 45 minutes
» Register Now
Claims and underwriting quality are essential to the overall health and performance of every insurance carrier. As insurers continue to adopt new automation and data analytics tools, audit teams must evolve to ensure quality in an increasingly fast-paced and digital ecosystem. New advances in predictive analytics can help insurance QA teams streamline their audits, insights, and reporting. Join Dr. Ellen Cousins and Julie Markert on Wednesday, March 25, at 1:00 p.m. ET as they discuss predictive analytics for QA and how you can adopt new models to streamline audits and drive quality across your organization.
Learn how data analytics can help your audit teams discover new patterns, identify high-risk files and create automated workflows that can increase the efficiency, accuracy and scope of your audits. This webinar is relevant to both claims and underwriting QA teams and we encourage you to watch with various members of your organization, including QA managers, auditors, claims handlers and senior leadership.
Dr. Ellen Cousins is the chief science and technology officer at Athenium Analytics and specializes in predictive analytics modeling for insurance. She leads a team with dozens of scientists who are building the next generation of insurtech tools using data analytics, machine learning and computer vision. Dr. Cousins was also named to the 2019 Elite Women in Insurance list by Insurance Business America for her contributions to the insurance community.
Julie Market is an account manager at Athenium Analytics and works with some of the nation’s largest insurance carriers to help evolve their quality assurance programs. She specializes in quality program design and teaching how to build quality programs for continuous improvement. Before joining Athenium, she spent 13 years at Liberty Mutual working in various areas in personal lines insurance, including: distribution, product, and claims quality analytics and strategy.