Editors: Sanjay Taneja, Ercan Ozen, Luan Vardar, Mohit Kukreti, Mohammad Kashif

Data Alchemy in Insurance: Revolutionizing the Insurance Industry through Big Data Analytics

eBook: US $89 Special Offer (PDF + Printed Copy): US $143
Printed Copy: US $98
Library License: US $356
ISBN: 978-981-5313-84-0 (Print)
ISBN: 978-981-5313-83-3 (Online)
Year of Publication: 2025

Introduction

Data Alchemy in Insurance: Revolutionizing the Insurance Industry through Big Data Analytics discusses cutting-edge technologies like machine learning and AI, transforming insurance into a dynamic, customer-centric industry. Spanning fifteen chapters, topics range from predictive analytics for customer retention to ethical dilemmas in data usage. Learn how big data enhances risk assessment, underwriting, and customer engagement, fostering innovation and operational efficiency. Insights into robo-advisors, automation, and sustainable insurance models provide a comprehensive view of industry advancements.

Key Features:

  • - The Data-Driven Renaissance: Innovate and grow strategically with big data.
  • - Customer-Centric Transformation: Personalize engagement and satisfaction.
  • - Operational Efficiency: Optimize claims, detect fraud, and assess risk effectively.


Readership:

Ideal for insurance professionals, analysts, and researchers.

Foreword

- Pp. i
Amar Johri
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Preface

- Pp. ii-vii (6)
Sanjay Taneja, Ercan Ozen, Luan Vardar, Mohit Kukreti, Mohammad Kashif
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List of Contributors

- Pp. viii-ix (2)

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A Machine Learning Algorithm for Forecasting Customer Churn in the Motor Insurance Industry

- Pp. 1-14 (14)
Reepu, Sanjay Taneja*, Zelhuda Shamsuddin

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Ai-Powered Data Analytics for Customer-Centric Insurance Experience

- Pp. 15-31 (17)
Vijay Prakash Gupta, Mohammad Kashif*

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The Dawn of Automated Health Guardianship: Robo Advisors in Insurance Planning

- Pp. 32-64 (33)
Jaspreet Kaur, Sanjay Taneja*, Mohit Kukreti

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Rise of Robo Advising in Insurance

- Pp. 65-75 (11)
Prayank Sharma, Manish Singh*

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Assessment of Key Drivers for Selecting Sustainable Health Insurance Schemes: Using the BWM Approach

- Pp. 76-94 (19)
Vijay Lahri*, Mohd Amir, Abdullah Malik

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The Future of Data Analytics in Insurance: A Comprehensive Exploration

- Pp. 95-115 (21)
Varnesh Ghildiyal*, Supriya Hazra, Muskan Singh

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Growth of Life Insurance in India

- Pp. 116-126 (11)
Ritik Joshi, Abhishek Singh Chauhan, Mandeep Singh, Pawan Kumar*, Mukul Bhatnagar

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Beyond the Horizon: Exploring the Future of Data Analytics in Insurance

- Pp. 127-157 (31)
Nikita Singhal*, Shikha Goyal, Pooja Sharma

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Unravelling the Ethical Tapestry: Navigating Dilemmas in Data Analytics within the Insurance Sector

- Pp. 158-170 (13)
Harshi Garg, Mohammad Kashif*, Arokiaraj David

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Transforming Risk Management in India: Integrating Health and Life Insurance Data

- Pp. 171-184 (14)
Ashish C. Pius*, R. Velmurugan

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Growth and Development of Microinsurance in LIC of India

- Pp. 185-195 (11)
Chouturu Manoj Kumar*, S. Raghunatha Reddy

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A Bibliometric Review of Life Insurance in India

- Pp. 196-204 (9)
Rajesh Tiwari*, Aastha Agarwal, Vanshika Kakkar, Luan Vardari

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Insuring Tomorrow: A Bibliometric Dive into Robo-Advising for Smart Wealth Management

- Pp. 205-225 (21)
Vartika Bisht*, Rajwinder Kaur

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Big Data and Insurance: A Bibliometric Analysis

- Pp. 226-240 (15)
Rajeev Srivastava, Ankit Srivastava*, Sneha Badola

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The Surge of Machine Learning and Robo-Advisors: Reshaping the Insurance Industry Terrain

- Pp. 241-263 (23)
Pooja Sharma, Sangeet Vashishtha*, Neeraj Saxena, Shruti Saxena

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Subject Index

- Pp. 264-269 (6)
Sanjay Taneja, Ercan Ozen, Luan Vardar, Mohit Kukreti, Mohammad Kashif
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