Analytics for Insurance

Analytics for Insurance
Author :
Publisher : John Wiley & Sons
Total Pages : 296
Release :
ISBN-10 : 9781119141075
ISBN-13 : 1119141079
Rating : 4/5 (75 Downloads)

Book Synopsis Analytics for Insurance by : Tony Boobier

Download or read book Analytics for Insurance written by Tony Boobier and published by John Wiley & Sons. This book was released on 2016-10-10 with total page 296 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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 Data's 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 industry's unique needs, challenges, and targets.


Analytics for Insurance Related Books

Analytics for Insurance
Language: en
Pages: 296
Authors: Tony Boobier
Categories: Business & Economics
Type: BOOK - Published: 2016-10-10 - Publisher: John Wiley & Sons

DOWNLOAD EBOOK

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 o
Big Data Analytics in the Insurance Market
Language: en
Pages: 254
Authors: Kiran Sood
Categories: Business & Economics
Type: BOOK - Published: 2022-07-18 - Publisher: Emerald Group Publishing

DOWNLOAD EBOOK

Big Data Analytics in the Insurance Market is an industry-specific guide to creating operational effectiveness, managing risk, improving financials, and retaini
New Horizons for a Data-Driven Economy
Language: en
Pages: 312
Authors: José María Cavanillas
Categories: Computers
Type: BOOK - Published: 2016-04-04 - Publisher: Springer

DOWNLOAD EBOOK

In this book readers will find technological discussions on the existing and emerging technologies across the different stages of the big data value chain. They
Big Data Analytics in the Insurance Market
Language: en
Pages: 404
Authors: Kiran Sood
Categories: Business & Economics
Type: BOOK - Published: 2022-07-18 - Publisher: Emerald Group Publishing

DOWNLOAD EBOOK

Big Data Analytics in the Insurance Market is an industry-specific guide to creating operational effectiveness, managing risk, improving financials, and retaini
Big Data Analytics: Systems, Algorithms, Applications
Language: en
Pages: 422
Authors: C.S.R. Prabhu
Categories: Computers
Type: BOOK - Published: 2019-10-14 - Publisher: Springer Nature

DOWNLOAD EBOOK

This book provides a comprehensive survey of techniques, technologies and applications of Big Data and its analysis. The Big Data phenomenon is increasingly imp