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Insurers: use analytics to drive far more value from your most important asset -- data! Today, many insurers radically underutilize their data, leaving them vulnerable to traditional and non-traditional competitors alike. Now, drawing on 25 years of industry experience, Patricia Saporito shows how to systematically leverage analytics to improve business performance and customer satisfaction throughout any insurance business.
Applied Insurance Analytics demonstrates how to use analytics to systematically improve operations ranging from underwriting and risk management to claims. Even more important: it will help you drive more value everywhere by defining a focused enterprise-wide analytics strategy, and overcoming the challenges that stand in your way.
Saporito helps you assess your current analytics maturity, choose the new applications that offer the most value, and master best practices from throughout the industry and beyond. Throughout, she helps you gain more value from data assets, technologies and tools you've already invested in. You'll find new case studies, practical tools, and easy templates for improving the "Analytics IQ" of your entire enterprise.
For every insurance industry professional and manager concerned with analytics, including users, IT pros, sales/marketing specialists, and data scientists. This book will also be valuable to students in any MBA or other program focused on insurance or risk management, and to many students in IT or analytics-specific programs.
Chapter 1 Analytics in Insurance Overview 1
Chapter 2 Analytics Strategy and Execution Framework 13
Chapter 3 Defining, Prioritizing, and Aligning Needs 23
Chapter 4 Defining and Using Metrics Effectively 35
Chapter 5 Analytics Value and Return on Investment 45
Chapter 6 Data and Information Architecture 61
Chapter 7 Analytics Tools 77
Chapter 8 Organization and Implementation 89
Chapter 9 Analytics Skills and Culture 103
Chapter 10 Use Cases and Case Studies 113
Chapter 11 Future of Insurance Analytics 141
Appendix A Analytics Evolution Models 149
Appendix B Actionability and Metrics Frameworks 151
Appendix C Analytics Blogs and Videos 163