ISBN 10: 0133760367 / ISBN 13: 9780133760361
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Inhaltsangabe:

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.

From the Back Cover:

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 important–and 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 you’re 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 INSURER’S BEST-PRACTICE GUIDE TO DRIVING BUSINESS VALUE FROM ANALYTICS

 

“Finally... 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

 

“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 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 their data, leaving them vulnerable to traditional and non-traditional competitors alike. In Applied Insurance Analytics, industry thought leader Patricia L. Saporito helps you change that by leveraging analytics to improve business performance and customer satisfaction throughout your business.

 

Saporito shows how to use analytics to systematically improve operations ranging from underwriting and risk management to claims. Through use cases, case studies, tools, and templates, you’ll learn how to assess where you stand, choose new applications that offer the greatest value, gain more value from existing investments, and master best practices from throughout the industry and beyond.

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