"Applied insurance analytics : a framework for driving more value from data assets, technologies, and tools" : a framework for driving more value from data assets, technologies, and tools

Most insurers fail to fully exploit their greatest asset: data. Why? Because their use of analytics is largely limited to stovepiped operational areas such as underwriting, claims, marketing, or risk management. To unleash the value buried in your data, you need an analytics strategy that is enterprise-wide, business driven, and performance-focused.   In this book, industry thought leader Patricia L. Saporito explains why such a strategy is so importantand how to plan, implement, and profit from yours. Drawing on 25+ years of insurance experience, she presents a complete framework for customizing an analytics strategy based on your business model, capabilities, and goals.   Saporito reviews common analytic applications by functional area, offering specific use cases and examples and helping you build on the analytics youre already doing. She presents insurance-specific data and governance models for effectively organizing and integrating your data, ensuring its quality and privacy and maximizing the value it creates. Finally, she provides tools and frameworks for improving the analytic IQ of your entire organization, from business users to IT developers. Crafting your optimal analytics strategy and execution framework Defining needs, prioritizing initiatives, and organizing for success Deepening skills, transforming culture Building the truly analytics-driven, performance-based organization Selecting and applying insurance-specific analytics metrics Making the most of KPIs, leading indicators, and correlation metrics Choosing the right tools for the right jobs Selecting tools for reporting, visualizing, and predicting   THE INSURERS BEST-PRACTICE GUIDE TO DRIVING BUSINESS VALUE FROM ANALYTICS   Finally... a data analytics roadmap for insurance industry decision makersnot just research, but applied research to our industry. John A. Cherba, Past President, Society of Insurance Research   As we move into a time with big data and cognitive computing, we are very fortunate as an industry to have thought leadership that brings front and centeras Pat has discussed in her booktopics that we must incorporate and look to as points of reference and, most importantly, lessons learned. Great reference materials and perspectives! Cindy Maike, Associate Partner, Insurance, Global Business Services, IBM   In her book, Pat connects the dots between business challenges and analytics capabilities in the insurance industry and provides a roadmap on how to optimize analytics in practice. Dwight McNeill, Professor and Author of A Framework for Applying Analytics in Healthcare: What Can Be Learned from the Best Practices in Retail, Banking, Politics, and Sports   Today, many insurers radically underutilize...