Overview

Data Alchemy in the Insurance Industry: The Transformative Power of Big Data Analytics is a groundbreaking work that explores the transformative power of big data analytics within the insurance industry. This collected edition takes readers on a journey into the world of data-driven alchemy, where insurers turn vast amounts of information into valuable insights and innovations. By demystifying the complex realm of big data, Data Alchemy empowers insurance researchers and professionals to harness data effectively, create efficiencies, and achieve a competitive edge. This collected edition provides a comprehensive and practical roadmap for insurers, data scientists, technologists, and insurance enthusiasts alike, to navigate the data-driven revolution that is sweeping the insurance landscape. Authors in this work offer a series of case studies featuring renowned insurance companies that have successfully harnessed data analytics for strategic gains. They discuss not only the technological facets but also regulatory concerns, ethical considerations, and the human element in data-driven insurance transformation. This work anticipates the future trends and challenges that will shape the insurance industry, providing insights into how data alchemy will continue to evolve and impact the sector. This collected edition is essential reading for data scientists, technologists, researchers in the field of big data analytics, as well as insurers who implement research findings.

Full Product Details

Author:   Sanjay Taneja (Graphic Era Deemed to be University, India) ,  Pawan Kumar (Chandigarh University, India) ,  Reepu (Chandigarh University, India) ,  Mohit Kukreti (University of Technology and Applied Science, Oman)
Publisher:   Emerald Publishing Limited
Imprint:   Emerald Publishing Limited
Dimensions:   Width: 15.20cm , Height: 1.70cm , Length: 22.90cm
Weight:   0.435kg
ISBN:  

9781836085836

ISBN 10:   1836085834
Pages:   248
Publication Date:   21 November 2024
Audience:   Professional and scholarly ,  College/higher education ,  Professional & Vocational ,  Postgraduate, Research & Scholarly
Format:   Hardback
Publisher's Status:   Active
Availability:   In Print  
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Table of Contents

Chapter 1. Data Alchemy in Insurance: A Catalyst for Improving Financial Inclusion Levels and Insurance Penetration; Muskan Singh, Rajat Sharma, and Mukul Bhatnagar Chapter 2. Unlocking the Power of Big Data in Insurance: The Role of Data Analytics; Divya Singh and Amit Gautam Chapter 3. AI-Driven Personalized Risk Management in Insurance Sector; Anshul Agrawal, Tanya Kumar, Rachit Agarwal, and Ashish Gupta Chapter 4. Ethical Considerations in Data Analytics: Challenges, Principles, and Best Practices; Kapil Sharma, Pawan Kumar, and Ercan Özen Chapter 5. Analyzing Two and a Half Decades of Health Insurance and Big Data Analytics Research: A Bibliometric Study; Vartika Bisht, Priya, Sanjay Taneja, and Amar Johri Chapter 6. Worker's Compensation in the Remote Work Era: Proactive Risk Management through HR policies and Data Alchemy Practices; Mehul Miglani and Bhupinder Pal Singh Chahal Chapter 7. The Philosopher's Stone: Applications of Data Alchemy- Customer Personalization, Profiling, and Retention; Kaushal Kishore Mishra, Pawan Pant, Harvinder Singh, and Sunil Kant Mishra Chapter 8. Impact of Employee-Performance Data Management on Job Satisfaction in the Insurance Sector; Munish Gupta, Vikas Sharma, and Nasima Mohamed Hoosen Carrim Chapter 9. Revolutionizing Insurance Practices through Advanced Data Alchemy; Sanjay Taneja, Vartika Bisht, and Mohit Kukreti Chapter 10. The Future of Alchemy: Emerging Trends and Technologies Metaverse in Insurance - A Virtual Customer Experience; Azmee Zaheer, Animesh Singh, Kaushal Kishore Mishra, Reepu, and Luan Vardari Chapter 11. Trends and Patterns in Insurance Research: A Bibliometric Analysis (2020-2024); Khem Chand, Ajay Chandel, Rajesh Tiwari, and Abshishek Singh Chauhan Chapter 12. Transformative Data Practices in the Insurance Industry: Addressing Benefits, Challenges, Exploring Emerging Trends and Utilizing Advanced Technologies; Swati Gupta, Navpreet Kaur Sidhu, and Dixit Kalra Chapter 13. Chatbots and Virtual Assistants in Insurance Decision Support; Sonal Purohit and Rakhi Arora Chapter 14. Risk Assessment Models for Health Insurance Sector; Reepu, Pawan Kumar, and Mandeep Singh

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Author Information

Sanjay Taneja is Associate Professor in Research at Graphic Era University in Dehradun, India, and Affiliate Professor at Usak University, Turkey. Pawan Kumar is Professor at Chandigarh University, India. Reepu is Associate Professor at Chandigarh University, India. Mohit Kukreti is ExPD-IBA Program, Ministry of Higher Education and presently associated with the College of Economics and Business Administration, University of Technology and Applied Sciences, Oman. Ercan Özen is Professor of Finance in Department of Finance and Banking, Faculty of Applied Sciences, University of Uşak, Turkey.

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