Muutke küpsiste eelistusi

Big Data Analytics in the Insurance Market [Kõva köide]

Edited by (University of Malta, Malta), Edited by (Galgotias University, India), Edited by (University of Latvia, Latvia), Edited by (Chitkara Business School, Chitkara University, India)
This volume consists of 17 chapters by computer science, business, economics, and other researchers from India and Nigeria, who describe the use of big data analytics in the insurance industry. They discuss cybersecurity and data privacy in the insurance market, the comparative predictive performance of back-propagation neural network and support vector machines for Indian insurance companies, and machine learning models for predicting credit card fraud. They also discuss decision-making optimization using big data technologies and tools, the challenges and solutions of the adoption of big data analytics in the Indian insurance industry, moving towards sustainable economic growth using big data analytics, and the use of edge computing in insurance automotive applications. Distributed in North America by Turpin Distribution. Annotation ©2022 Ringgold, Inc., Portland, OR (protoview.com)

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.



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.

About the Editors vii
About the Contributors ix
Preface xvii
Foreword xix
Chapter 1 Cybersecurity and Data Privacy in the Insurance Market
1(20)
Priti Rani Rajvanshi
Taranjeet Singh
Deepa Gupta
Mukul Gupta
Chapter 2 Comparative Predictive Performance of BPNN and SVM for Indian Insurance Companies
21(10)
Payal Bassi
Jasleen Kaur
Chapter 3 Big Data Analytics for Credit Card Fraud Detection Using Supervised Machine Learning Models
31(26)
Yakub Kayode Saheed
Usman Ahmad Baba
Mustafa Ayobami Raji
Chapter 4 Decision-making Optimisation in Insurance Market Using Big Data Analytics Survey
57(24)
Manish Bhardwaj
Shivani Agarwal
Chapter 5 Big Data Analytics Adoption in the Indian Insurance Industry: Challenges and Solutions
81(22)
Maryam Saeed
Noman Arshed
Chapter 6 A Step Closer Towards Sustainable Economic Growth with Big Data Analytics
103(32)
Shivani Vaid
Chapter 7 Insurance Automotive Application Using Edge Computing
135(10)
Kamal Gulati
Pallavi Seth
Chapter 8 Big Data Analytics Application in the Indian Insurance Sector
145(20)
Manju Dahiya
Shikha Sharma
Simon Grima
Chapter 9 Big Data: A Disruptive Innovation in the Insurance Sector
165(20)
Aradhana Rana
Rajni Bansal
Monica Gupta
Chapter 10 Recent Trends and Inflows of Foreign Direct Investment in India: With a Specific Reference to the Insurance Sector
185(22)
Samridhi Tanwar
Surbhi Bhardwaj
Chapter 11 Employing Bibliometric Analysis to Identify Emerging Technologies in the Insurance Industry
207(14)
M. P. Akhil
Chapter 12 The Impact of Big Data Technology on the Advancement of the Insurance Industry
221(20)
Teena Pareek
Kiran Sood
Simon Grima
Chapter 13 Can Central Bank Digital Currency Increase Financial Inclusion? Arguments for and Against
241(10)
Peterson K. Ozili
Chapter 14 Application of Machine Learning for Fraud Detection - A Decision Support System in the Insurance Sector
251(12)
Jyoti Verma
Chapter 15 Role and Significance of Data Protection in Risk Management Practices in the Insurance Market
263(12)
Sonal Trivedi
Reena Malik
Chapter 16 Emerging Technologies in the Insurance Market
275(12)
Jagjit Singh Dhatterwal
Kuldeep Singh Kaswan
Preety
Balamurugan Balusamy
Chapter 17 The Role of Artificial Intelligence in the Insurance Industry of India
287(12)
Vimal Sharma
Deepak Sood
Index 299
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).