Big Data Analytics in the Insurance Market
eBook - PDF

Big Data Analytics in the Insurance Market

  1. 404 pages
  2. English
  3. PDF
  4. Available on iOS & Android
eBook - PDF

Big Data Analytics in the Insurance Market

About this book

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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Yes, you can access Big Data Analytics in the Insurance Market by Kiran Sood, Balamurugan Balusamy, Simon Grima, Pierpaolo Marano, Kiran Sood,Balamurugan Balusamy,Simon Grima,Pierpaolo Marano,Balamurugan Baluswamy in PDF and/or ePUB format, as well as other popular books in Business & Decision Making. We have over one million books available in our catalogue for you to explore.

Information

Publisher
Emerald Publishing Limited
Year
2022
Print ISBN
9781802626384
eBook ISBN
9781802626377
Topic
Business
Subtopic
Decision Making
Index
Business

Table of contents

  1. Half Title Page
  2. Series Page
  3. Title Page
  4. Copyright Page
  5. Contents
  6. About the Editors
  7. About the Contributors
  8. Preface
  9. Foreword
  10. Chapter 1-Cybersecurity and Data Privacy in the Insurance Market
  11. Chapter 2-Comparative Predictive Performance of BPNN and SVM for Indian Insurance Companies
  12. Chapter 3-Big Data Analytics for Credit Card Fraud Detection Using Supervised Machine Learning Models
  13. Chapter 4-Decision-making Optimisation in Insurance Market Using Big Data Analytics Survey
  14. Chapter 5-Big Data Analytics Adoption in the Indian Insurance Industry: Challenges and Solutions
  15. Chapter 6-A Step Closer Towards Sustainable Economic Growth with Big Data Analytics
  16. Chapter 7-Insurance Automotive Application Using Edge Computing
  17. Chapter 8-Big Data Analytics Application in the Indian Insurance Sector
  18. Chapter 9-Big Data: A Disruptive Innovation in the Insurance Sector
  19. Chapter 10-Recent Trends and Inflows of Foreign Direct Investment in India: With a Specific Reference to the Insurance Sector
  20. Chapter 11-Employing Bibliometric Analysis to Identify Emerging Technologies in the Insurance Industry
  21. Chapter 12-The Impact of Big Data Technology on the Advancement of the Insurance Industry
  22. Chapter 13-Can Central Bank Digital Currency Increase Financial Inclusion? Arguments for and Against*
  23. Chapter 14-Application of Machine Learning for Fraud Detection – A Decision Support System in the Insurance Sector
  24. Chapter 15-Role and Significance of Data Protection in Risk Management Practices in the Insurance Market
  25. Chapter 16-Emerging Technologies in the Insurance Market
  26. Chapter 17-The Role of Artificial Intelligence in the Insurance Industry of India
  27. Index