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Data Alchemy in the Insurance Industry: The Transformative Power of Big Data Analytics [Kõva köide]

Edited by (Graphic Era Deemed to be University, India), Edited by (University of Technology and Applied Science, Oman), Edited by (Chandigarh University, India), Edited by (University of Uak, Turkey), Edited by (Chandigarh University, India)
  • Formaat: Hardback, 248 pages, kõrgus x laius x paksus: 229x152x17 mm, kaal: 435 g
  • Ilmumisaeg: 21-Nov-2024
  • Kirjastus: Emerald Publishing Limited
  • ISBN-10: 1836085834
  • ISBN-13: 9781836085836
  • Formaat: Hardback, 248 pages, kõrgus x laius x paksus: 229x152x17 mm, kaal: 435 g
  • Ilmumisaeg: 21-Nov-2024
  • Kirjastus: Emerald Publishing Limited
  • ISBN-10: 1836085834
  • ISBN-13: 9781836085836

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.



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.

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
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 Uak, Turkey.