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Tony Boobier - The Wiley Finance: Analytics for Insurance : The Real Business of Big Data read ebook MOBI, EPUB

9781119141075


1119141079
Big Data and Analytics is one of the hottest topics on the business agenda. However there are currently few (if any) industry-specific books on this topic. The book will deal with Big Data and Analytics specifically from an insurance perspective.Other publications are general in nature and do not meet the specific needs of the insurance sector. And yet data and analytics are fundamental to the insurance industry going forward - and this is no longer in the domain of the IT department but rather in the 'Line of Business' where delivery of targets rests. As such, this will not be a technical book (ie IT architecture) but rather one written in such a way as to be understandable by the insurance professional with limited or no IT understanding., 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 do Delve into Big Datas specific impact on the insurance industry Learn how advanced analytics can revolutionise the industry Bring 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 industrys unique needs, challenges, and targets.

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What's Inside Mapping real problems to Storm components Performance tuning and scaling Practical troubleshooting and debugging Exactly-once processing with Trident About the Authors Sean Allen , Matthew Jankowski , and Peter Pathirana lead the development team for a high-volume, search-intensive commercial web application at TheLadders.Presents case studies and actual data to demonstrate threat data visualization techniques and threat simulation toolsExplores the usage of kill chain modelling to inform actionable security intelligenceDemonstrates a methodology that can be used to create a full threat forecast analysis for enterprise networks of any size, Threat Forecasting: Leveraging Big Data for Predictive Analysis discusses the dangers associated with relying on historical data, security incident reports, and network analysis to predict future security breaches.Finally, the book examines research trends such as Big Data pervasive computing, data-intensive exascale computing, and massive social network analysis.These films offer perspectives on the past that historians might otherwise miss.Implementation tips help practitioners in further development, evaluation, and application.