The Road to Adoption: A Business Analytics Research Model

Overview

An insurance company's data is one of its most valuable assets. When leveraged correctly with business analytics, strategic gains can be realized across an enterprise, including: new distribution channel opportunities, better risk management, faster response to regulatory and reporting agency demands, and more precise pricing levels.

Unfortunately, few insurers are doing all they can to take advantage of the vast amounts of data contained within their organizations. Many do not have their data in a healthy enough condition to apply business analytics, while others have been unable to make the cultural change from experiential-based decision-making organizations to data-driven companies.

Objective

During this instructional, one-hour Webcast, moderated by Insurance & Technology Associate Editor Nathan Conz, you'll learn from industry experts and carrier executives about what it takes to adopt a business analytics research model using predictive analytics – both where you need to go and how to get there.

Key takeaways

• Learn how to break down silos and become a more collaborative organization.
• Find out how to position IT as a data guardian and work in a proactive support role.
• Understand how to educate the work force to use tools with extensive and sophisticated functionality.
• Discover how to govern in a predictive analytic environment.
• Explore the pros and cons of a centralized versus decentralized structure.