Applied Insurance Analytics: A Framework for Driving More Value from Data Assets, Technologies, and Tools - Rilegato

Libro 14 di 36: FT Press Analytics

Saporito, Patricia L.

 
9780133760361: Applied Insurance Analytics: A Framework for Driving More Value from Data Assets, Technologies, and Tools

Sinossi

Data is the insurance industry's single greatest asset. Yet many insurers radically underutilize their data assets, and are failing to fully leverage modern analytics. This makes them vulnerable to traditional and non-traditional competitors alike. Today, insurers largely apply analytics in important but stovepiped operational areas like underwriting, claims, marketing and risk management. By and large, they lack an enterprise analytic strategy -- or, if they have one, it is merely an architectural blueprint, inadequately business-driven or strategically aligned.

 

Now, writing specifically for insurance industry professionals and leaders, Patricia Saporito uncovers immense new opportunities for driving competitive advantage from analytics -- and shows how to overcome the obstacles that stand in your way. Drawing on 25+ years of insurance industry experience, Saporito introduces proven best practices for developing, maturing, and profiting from your analytic capabilities.

 

This user-friendly handbook advocates an enterprise strategy approach to analytics, presenting a common framework you can quickly adapt based on your unique business model and current capabilities. Saporito reviews common analytic applications by functional area, offering specific case studies and examples, and helping you build upon the analytics you're already doing. She presents data governance models and models proven to help you organize and deliver trusted data far more effectively. Finally, she provides tools and frameworks for improving the "analytic IQ" of your entire enterprise, from IT developers to business users.

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Informazioni sull?autore

Patricia L. Saporito is a senior director for SAPs Global Center of Excellence for BI and Analytics. She is SAPs thought leader for analytics in the insurance industry. In her role she provides thought leadership and guidance to help customers leverage their data and technology investments. In addition to insurance she has worked with many other industries including airlines, banking, consumer products, healthcare, manufacturing, mining, oil and gas, and utilities.

 

Pat is a faculty member of the International Institute for Analytics (IIA), co-founded by Tom Davenport, and is a frequent speaker at industry and analytics events on the topics of data warehousing, analytics, and BI Strategy. Pat authored the chapter on business value in the recently published IIA book, Analytics in Healthcare and the Life Sciences.

 

Pat has been a columnist for Bests Review magazines Technology Insights column for the past 10 years. She has blogged in various social media outlets. Pat has served in numerous industry roles. She is past president of the Society of Insurance Research, past chair of the Society of Chartered Property and Casualty Underwriters (CPCU) Information Technology Section, has been a director of Insurance Data Management Association, and has been an education committee member of Insurance Accounting & Systems Association (IASA). She is also past president of APIW, an organization of executive insurance women.

 

Pat holds the Society of CPCU professional designation and has been awarded a Fellow of Insurance Data Management by the Insurance Data Management Association (IDMA) in recognition of her advocacy of and contributions to the field of data management and analytics.

Dalla quarta di copertina

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 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, youll 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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