We specialize in hard to find items
All Categories
Applied Insurance Analytics: A Framework for Driving More Value from Data Assets, Technologies, and Tools (FT Press Analytics)
Share Tweet
*Price and Stocks may change without prior notice
*Packaging of actual item may differ from photo shown
- Electrical items MAY be 110 volts.
- 7 Day Return Policy
- All products are genuine and original
About Applied Insurance Analytics: A Framework For
Product Description 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. Review Praise for Applied Insurance Analytics “Pat Saporito is one of the sharpest minds in the IT business for insurance and financial services. Her deep understanding of the playing field and her devotion to analytics as a key to optimum business processes is unmatched. In particular, Pat really gets it when it comes to the critical importance of the business/IT relationship, and she knows how to apply her wit and wisdom to make all the players around her better.”―Ara Trembly, Founder, The Tech Consultant “Pat’s vast experience, knowledge and insights come to life in this book, a must read for all insurers.”―Deb Smallwood, Founder, Strategy Meets Action “Finally, Pat has provided a data analytics roadmap for insurance industry decision makers―not just research, but applied research to our industry.”―John A. Cherba, Past President, Society of Insurance Research “Pat Saporito is that rare individual who understands the business end of insurance and can then match business needs with the supporting technology. She cuts right through the jargon with specific insights about insurance business needs, the data at the heart of our business, and applying analytics for optimal outcomes. Essential reading for anyone who needs to leverage data to drive business results. Pat worked closely with me as an advisor to the Institutes’ Associate in Information Technology (AIT) program and also with the Insurance Data Management Association (IDMA). Anyone studying analytics or insurance data (such as the AIDM or CIDM from IDMA) will find this to be valuable supplemental reading and a treasured reference.”―Martin J. Frappolli, CPCU, FIDM, Senior Director of Knowledge Resources, The Institutes (Institute for Chartered Property Casualty Underwriters and Insurance Institute of America) “Pat’s experience, knowledge, and know-how make her one of the few insurance data professionals who can provide practical and reasonable advice and insight on data uses and needs to carriers and insurance organizations.”―Bill Jenkins, Managing Partner, Agile Insurance Analytics and former CIO, Penn National Insurance “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 center―as Pat has discussed in her book―topics that we must incorporate and look to as points of reference and most importantly, lessons learned. Great reference materials and
