Big data analytics in the insurance market /
Edition: | First edition. |
---|---|
Imprint: | Bingley, UK : Emerald Publishing, 2022. ©2022 |
Description: | 1 online resource ( 333 p..) |
Language: | English |
Series: | Emerald studies in finance, insurance, and risk management ; volume 5 Emerald studies in finance, insurance, and risk management ; 5. |
Subject: | |
Format: | E-Resource Book |
URL for this record: | http://pi.lib.uchicago.edu/1001/cat/bib/12776334 |
Summary: | Big Data Analytics in the Insurance Marketis an industry-specific guide to creating operational effectiveness, managing risk, improving financials, and retaining customers. This book will be a 'must' for people seeking to broaden their knowledge of big data concepts and their real-world applications, particularly in the field of insurance. The insurance industry is largely 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. This book an invaluable resource for any insurance professional from practitioners and policymakers working at insurance companies, to undergraduate and graduate students of economics management, and finance. Providing high quality academic research, ESFIRM provides a platform for authors to explore, analyse and discuss current and new financial models and theories, and engage with innovative research on an international scale. |
---|---|
Physical Description: | 1 online resource ( 333 p..) |
Bibliography: | Includes bibliographical references and index. |
ISBN: | 9781802626391 1802626395 9781802626377 1802626379 9781802626384 |