Big Data Analytics in the Insurance Market
1st Edition
Published on 18. July 2022
336 pages
978-1-80262-637-7 (ISBN)
Description
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.
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.
More details
Series
Language
English
Place of publication
Bingley
United Kingdom
Target group
Professional and scholarly
File size
6,50 MB
ISBN-13
978-1-80262-637-7 (9781802626377)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Classification
Persons
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).
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).
Content
Chapter 1. Cyber Security and Data Privacy in the Insurance Market; Priti Rani Rajvanshi, Taranjeet Singh, Deepa Gupta, and Mukul Gupta
Chapter 2. Comparative predictive performance of BPNN and SVM for Indian Insurance Companies; Jasleen Kaur and Payal Bassi
Chapter 3. Big Data Analytics for Credit Card Fraud Detection Using Supervised Machine Learning Models; Yakub Kayode Saheed, Usman Ahmad Baba, and Mustafa Ayobami Raji
Chapter 4. Decision Making Optimization in Insurance market using Big Data Analytics-Survey; Manish Bhardwaj and Shivani Agarwal
Chapter 5. Bigdata Analytics Adoption In The Indian Insurance Industry: Challenges & Solutions; Maryam Saeed and Noman Arshed
Chapter 6. Sustainable Economic Growth with Big Data Analytics; Shivani Vaid
Chapter 7. Insurance Automotive Application Using Edge Computing; Kamal Gulati and Pallavi Seth
Chapter 8. Big Data Analytics Application in the Indian Insurance Sector; Shikha Sharma, Manju Dahiya, and Simon Grima
Chapter 9. Big Data: A Disruptive Innovation in the Insurance Sector; Aradhana Rana, Rajni Bansal, and Monica Gupta
Chapter 10. Recent Trends and Inflows of Foreign Direct Investment in India: With a Specific Reference to the Insurance Sector; Samridhi Tanwar and Surbhi Bhardwaj
Chapter 11. Employing Bibliometric Analysis to identify emerging Technologies in the Insurance Industry; Akhil M P
Chapter 12. The Impact of Big Data Technology on the Advancement of the Insurance Industry; Teena Pareek
Chapter 13. Can Central bank digital currency increase financial inclusion? Arguments for and against; Peterson K Ozili
Chapter 14. Application of Machine Learning for Fraud Detection- A Decision Support System in the Insurance Sector; Jyoti Verma
Chapter 15. The role and significance of data protection in risk management practices in the insurance market; Sonal Trivedi and Reena Malik
Chapter 16. Emerging Technologies in the Insurance Market; Jagjit Singh Dhatterwal, Kuldeep Singh Kaswan, Pretty, and Balamurugan Balusamy
Chapter 17. The Role of Artificial Intelligence in the Insurance Industry of India; Vimal Sharma and Deepak Sood
Chapter 2. Comparative predictive performance of BPNN and SVM for Indian Insurance Companies; Jasleen Kaur and Payal Bassi
Chapter 3. Big Data Analytics for Credit Card Fraud Detection Using Supervised Machine Learning Models; Yakub Kayode Saheed, Usman Ahmad Baba, and Mustafa Ayobami Raji
Chapter 4. Decision Making Optimization in Insurance market using Big Data Analytics-Survey; Manish Bhardwaj and Shivani Agarwal
Chapter 5. Bigdata Analytics Adoption In The Indian Insurance Industry: Challenges & Solutions; Maryam Saeed and Noman Arshed
Chapter 6. Sustainable Economic Growth with Big Data Analytics; Shivani Vaid
Chapter 7. Insurance Automotive Application Using Edge Computing; Kamal Gulati and Pallavi Seth
Chapter 8. Big Data Analytics Application in the Indian Insurance Sector; Shikha Sharma, Manju Dahiya, and Simon Grima
Chapter 9. Big Data: A Disruptive Innovation in the Insurance Sector; Aradhana Rana, Rajni Bansal, and Monica Gupta
Chapter 10. Recent Trends and Inflows of Foreign Direct Investment in India: With a Specific Reference to the Insurance Sector; Samridhi Tanwar and Surbhi Bhardwaj
Chapter 11. Employing Bibliometric Analysis to identify emerging Technologies in the Insurance Industry; Akhil M P
Chapter 12. The Impact of Big Data Technology on the Advancement of the Insurance Industry; Teena Pareek
Chapter 13. Can Central bank digital currency increase financial inclusion? Arguments for and against; Peterson K Ozili
Chapter 14. Application of Machine Learning for Fraud Detection- A Decision Support System in the Insurance Sector; Jyoti Verma
Chapter 15. The role and significance of data protection in risk management practices in the insurance market; Sonal Trivedi and Reena Malik
Chapter 16. Emerging Technologies in the Insurance Market; Jagjit Singh Dhatterwal, Kuldeep Singh Kaswan, Pretty, and Balamurugan Balusamy
Chapter 17. The Role of Artificial Intelligence in the Insurance Industry of India; Vimal Sharma and Deepak Sood
