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Big Data Analytics in the Insurance Market is 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.
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Kiran Sood is a Professor at Chitkara University, Punjab. She is an Editor for International Journal of BioSciences and Technology and International Journal of Research Culture Society.
Balamurugan Balusamy is a Professor at Galgotias University. He has published over 150 journal, conference, and book chapters.
Simon Grima is the Head of the Insurance Department at the University of Malta. He is among the first Certified Risk Management Professionals (FERMA), and is the chairman of the Scientific Education Committee of PRIMO and FERMA.
Pierpaolo Marano is a Professor at the University of Latvia and an Associate Professor at the Catholic University of the Sacred Heart. He serves as a member of the Insurance and Reinsurance Stakeholders Group at the European Insurance and Occupational Pensions Authority (EIOPA).
Riassunto
Big Data Analytics in the Insurance Market is an industry-specific guide to creating operational effectiveness, managing risk, improving financials, and retaining customers. A must for people seeking to broaden their knowledge of big data concepts and their real-world applications, particularly in the field of insurance.
