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Applied Insurance Analytics: A Framework for Driving More Value from Data Assets, Technologies, and Tools (FT Press Analytics) [Kindle Edition]

Patricia L Saporito

Kindle-Preis: EUR 36,30 Inkl. MwSt. und kostenloser drahtloser Lieferung über Amazon Whispernet

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Produktbeschreibungen

Pressestimmen

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 perspectives!" -Cindy Maike, Associate Partner, Insurance, Global Business Services, IBM "Pat Saporito is acknowledged by all who know her as the consummate industry thought leader. Given her range of experience from the business to IT and analytics, she is a tireless evangelist for communication among all the parties that make our industry tick. I am excited about her using her passion for analytics to empower the business users and their technology partners." -Beth Grossman, Chief Learning Officer, ACORD "Pat Saporito is both an insurance industry analytics thought leader and a pragmatist. She uses her extensive industry experience to help insurers understand key use cases and then makes them come to life using actual industry case studies." -Dennis A. Steckler, Partner, Global Insurance Solutions, Return on Intelligence, Inc. "I have had the pleasure to work with Pat on a number of occasions to talk with clients about the business value of analytics. Pat knows this better than anyone I know. In her book, she 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. "Pat provides an in-depth analysis and guideline to the competitive advantage weapon for the Insurance industry winners of the future. The difference between winners and losers will be analytics-Pat provides an in-depth guide for successful adoption." -Piyush Singh, CPCU, SVP and CIO, Great American Insurance Co.

Kurzbeschreibung

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.


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Amazon.com: 5.0 von 5 Sternen  8 Rezensionen
5.0 von 5 Sternen A Must Read for Insurance Executives and Middle Management 28. August 2014
Von CommentatorToo - Veröffentlicht auf Amazon.com
Format:Gebundene Ausgabe
There is no doubt that within the insurance industry that data, if understood properly and leveraged in insurance company operations, is a gold mine for acquisition of new customers and retention of existing policyholders. What is also known is that insurance executives feel seriously challenged knowing how to manage data because it is taken as an IT issue that is beyond their comprehension, or so they think. What Pat does in this book is to break the mystique about data into a very logical and straight forward tutorial that can build a common language between the business and IT organizations. In my view this book should be a must read for all insurance executives and middle management. Once everyone in the organization sees the value of analytics and how to develop and execute discrete initiatives, the insurance company will continuously produce positive financial outcomes.

When you read this book (in approximately 4 hours) you will have an analytics desktop reference book that will serve you well for the next decade.
5.0 von 5 Sternen data analytics has seemed like a mysterious art 13. August 2014
Von Pizza Quixote - Veröffentlicht auf Amazon.com
Format:Gebundene Ausgabe
At every conference, in every board room, insurance proffessionals keep hearing that data is the lifeblood of our industry. It helps us track trends, know our customers, and even find new ones. Any insurance organization that is not moving forward with data analytics is falling behind. But for most of us "normal" insurance practitioners, data analytics has seemed like a mysterious art, practiced only by a few data scientists. How does one marry the pragmatics of our business with the technical requirements of usefu analytics? Pat Saporito breaks that all down in the language of business. She takes the reader from the hypothetical to the real world with liberal use of case studies. One might expect this topic to be a difficult read, but Pat is a good writer who gets to the point and explainshow she got there. Essential reading for those who seek to understand and succeed in the modern competitive arena.
5.0 von 5 Sternen Beyond insurance analytics! 15. November 2014
Von Barbie Keiser - Veröffentlicht auf Amazon.com
Format:Gebundene Ausgabe
In eleven concise chapters (plus three informative appendices), Patricia Saporito applies her expertise in information technology (IT) to the insurance industry. In fact, this is a useful book for any businessperson seeking to understand what’s needed to discern “meaningful patterns in data,” in other words, “analytics.” While the examples and cases presented emanate from insurers, it’s easy to envision how the described methodologies would apply to any business workflow and setting. For me, the greatest insights are provided in Chapter 9, where Pat addresses the challenge facing organizations where analytic skills are required by every function, but little done to develop analytic talent throughout the organization. Improving employee skills and creating a culture of data-driven decisioning is key to an organization being able to capitalize on its investment in data management.
5.0 von 5 Sternen Scaffolding for Insurance Analytics 22. August 2014
Von Michael J. Bernaski - Veröffentlicht auf Amazon.com
Format:Gebundene Ausgabe
This is much more than a book about insurance analytics -- it is scaffolding to assist any company improve not only it's analytic IQ, but it's corporate IQ. The text does not hide behind cryptic terminology and the charts/diagrams serve as valuable frames to structure our thinking and work plans. Practical examples and a focus on stakeholder value are helpful to business and technical professionals. I would have every member of my team read this the day they join. Well done.
5.0 von 5 Sternen Primer for creating an insurance-focused business intelligence competency center 23. Dezember 2014
Von Bill Budde - Veröffentlicht auf Amazon.com
Format:Kindle Edition|Verifizierter Kauf
Patricia lays the foundation for an analytics framework for insurance carriers, users, and third party data providers. As varied as insurance products can be, the underlying data structures can be simplified if one understands the lexicon. This book provides a lexicon for development of a range of analytic services, and addressing the GIGO ("garbage in, garbage out") that insurance enterprises face.
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