Using Advanced Analytics to Achieve Better Claim Outcomes

Workers’ Compensation is a data rich business. Turning data into actionable insights should be a top priority. Why? The data is a valuable source of information for managing workers’ compensation claims. In this session, we will explore how to utilize workers’ compensation data to generate better claim outcomes. In this webinar, participants will learn how to 1.) Identify the key sources of data and what information they contain 2.) Learn how to use predictive models to identify emerging large-loss claims 3.) Use workers' compensation data, identify potential claim interventions.

Brian Billings is the Vice President of Predictive Analytics at Midwest Employers Casualty (MEC), a Berkley Company. With 25 years of technology experience in industries including banking, investment services, insurance services, and healthcare, he is an established leader in the area of data analytics. Brian holds a Bachelor of Science degree in Management Information Systems and a Juris Doctor degree from Saint Louis University. In his current role, he leads a team of data experts in building and deploying predictive models to help employers and injured workers achieve better outcomes.