The business guide to Big Data in insurance, with practical application insight
Big Data and Analytics for Insurers is the industry-specific guide to creating operational effectiveness, managing risk, improving financials, and retaining customers. Written from a non-IT perspective, this book focusses less on the architecture and technical details, instead providing practical guidance on translating analytics into target delivery. The discussion examines implementation, interpretation, and application to show you what Big Data can do for your business, with insights and examples targeted specifically to the insurance industry. From fraud analytics in claims management, to customer analytics, to risk analytics in Solvency 2, comprehensive coverage presented in accessible language makes this guide an invaluable resource for any insurance professional.
The insurance industry is heavily dependent on data, and the advent of Big Data and analytics represents a major advance with tremendous potential – yet clear, practical advice on the business side of analytics is lacking. This book fills the void with concrete information on using Big Data in the context of day-to-day insurance operations and strategy.
Big Data and analytics is changing business – but how? The majority of Big Data guides discuss data collection, database administration, advanced analytics, and the power of Big Data – but what do you actually do with it? Big Data and Analytics for Insurers answers your questions in real, everyday business terms, tailored specifically to the insurance industry's unique needs, challenges, and targets.
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TONY BOOBIER is a worldwide executive at IBM focussing on the insurance industry. With over 30 years of experience, he is a frequent writer and international public speaker. As author of numerous articles on a wide range of topics ranging from claims management to analytical insight, he possesses a deep understanding of the application of business intelligence and analytics in the international insurance industry and holds a successful track record conceiving and introducing changes in the operations and management of national service and delivery organizations.
Praise for Analytics for Insurance
‘Insurance was one of the first industries to use analytics, but now the game has changed. There are new types of analytics, new forms of data, and new business models based on them. Insurers need only read this book if they wish to remain in business.’
―Thomas H. Davenport, Distinguished Professor, Babson College; Research Fellow, MIT; Author, Competing on Analytics, Big Data at Work and Only Humans Need Apply
‘If you want to understand how analytics is applied in insurance then this is THE book to read. Tony has succeeded in writing not just an authoritative and comprehensive review of the insurance industry and analytics but one that is actually enjoyable to read. He covers a range of topics that extends way beyond the core areas of underwriting, risk modeling and actuarial science, for which the industry is known, but delves into marketing, people and implementation too. This book brings together the author’s extensive knowledge of both insurance and technology and presents it in a form that makes it essential reading for market practitioners and technologists alike.’
―Gary Nuttall, Head of Business Intelligence (2012 – 2016), Chaucer Syndicates
‘In this paradigm-shifting book, Tony Boobier provides us with the foundation to explore and rethink the future of the insurance industry. Visions of the future, a review of key processes and implementation concepts all combine to provide the essential guide to help you take your organization into the next decade.’
―Robert W Davies, Consultant; Author, The Era of Global Transition; Senior Visiting Fellow, Cass Business School, London
In order to stay competitive in any industry, it is increasingly essential to integrate data and analytics into every aspect of an organization. The insurance industry is undergoing a tectonic shift as technology transforms not only the business models that the industry takes for granted but also the entire landscape in which the industry operates.
Analytics for Insurance explains the key changes and helps prepare those working in the insurance sector for success in the future state of the industry. This guidebook written by a recognized thought-leader in the insurance and technology industry is one that no professional working in insurance can do without.
In order to stay competitive in any industry, it is increasingly essential to integrate data and analytics into every aspect of an organization. The insurance industry is undergoing a tectonic shift as technology transforms not only the business models that the industry takes for granted but also the entire landscape in which the industry operates.
Analytics for Insurance explains the key changes and helps prepare those working in the insurance sector for success in the future state of the industry. This guidebook written by a recognized thought-leader in the insurance and technology industry is one that no professional working in insurance can do without.
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Hardback. Zustand: New. The business guide to Big Data in insurance, with practical application insight Big Data and Analytics for Insurers is the industry-specific guide to creating operational effectiveness, managing risk, improving financials, and retaining customers. Written from a non-IT perspective, this book focusses less on the architecture and technical details, instead providing practical guidance on translating analytics into target delivery. The discussion examines implementation, interpretation, and application to show you what Big Data can do for your business, with insights and examples targeted specifically to the insurance industry. From fraud analytics in claims management, to customer analytics, to risk analytics in Solvency 2, comprehensive coverage presented in accessible language makes this guide an invaluable resource for any insurance professional. The insurance industry is heavily dependent on data, and the advent of Big Data and analytics represents a major advance with tremendous potential - yet clear, practical advice on the business side of analytics is lacking. This book fills the void with concrete information on using Big Data in the context of day-to-day insurance operations and strategy. Understand what Big Data is and what it can doDelve into Big Data's specific impact on the insurance industryLearn how advanced analytics can revolutionise the industryBring Big Data out of IT and into strategy, management, marketing, and more Big Data and analytics is changing business - but how? The majority of Big Data guides discuss data collection, database administration, advanced analytics, and the power of Big Data - but what do you actually do with it? Big Data and Analytics for Insurers answers your questions in real, everyday business terms, tailored specifically to the insurance industry's unique needs, challenges, and targets. Bestandsnummer des Verkäufers LU-9781119141075
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