Data alchemy in the insurance industry : the transformative power of big data analytics

• Other Authors: Taneja, Sanjay (Editor), Kumar, Pawan (Editor), Reepu (Editor), Kukreti, Mohit (Editor), Özen, Ercan (Editor)
• Format: Electronic eBook
• Language: English
• Published: Bingley, U.K. : Emerald Publishing Limited, 2024.
• Subjects: Insurance > Data processing.; Big data.; elektronické knihy; electronic books
• ISBN: 9781836085843
• DOI: 10.1108/9781836085829
• Physical Description: 1 online resource (248 pages)

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 i...

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.