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.

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Yes, you can access Data Alchemy in the Insurance Industry by Sanjay Taneja,Pawan Kumar,Reepu,Mohit Kukreti,Ercan Özen,Ercan Ozen in PDF and/or ePUB format, as well as other popular books in Business & Business Development. We have over one million books available in our catalogue for you to explore.

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Emerald Publishing Limited

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Index

Cover
Title
Copyright
Contents
About the Editors
About the Contributors
Foreword
Preface
Introduction of the Book
Chapter 1 Data Alchemy in Insurance: A Catalyst for Improving Financial Inclusion Levels and Insurance Penetration
Chapter 2 Unlocking the Power of Big Data in Insurance: The Role of Data Analytics
Chapter 3 AI-Driven Personalized Risk Management in the Insurance Sector
Chapter 4 Ethical Considerations in Data Analytics: Challenges, Principles, and Best Practices
Chapter 5 Analyzing Two and a Half Decades of Health Insurance and Big Data Analytics Research: A Bibliometric Study
Chapter 6 Workers’ Compensation in the Remote Work Era: Proactive Risk Management Through HR Policies and Data Alchemy Practices
Chapter 7 The Philosopher’s Stone: Applications of Data Alchemy—Customer Personalization, Profiling, and Retention
Chapter 8 Impact of Employee-Performance Data Management on Job Satisfaction in the Insurance Sector
Chapter 9 Revolutionizing Insurance Practices Through Advanced Data Alchemy
Chapter 10 The Future of Alchemy: Emerging Trends and Technologies Metaverse in Insurance – A Virtual Customer Experience
Chapter 11 Trends and Patterns in Insurance Research: A Bibliometric Analysis (2020–2024)
Chapter 12 Transformative Data Practices in the Insurance Industry: Addressing Benefits, Challenges, Exploring Emerging Trends, and Utilizing Advanced Technologies
Chapter 13 Chatbots and Virtual Assistants in Insurance Decision Support
Chapter 14 Risk Assessment Models for the Health Insurance Sector

About this book

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