Synopsis
In this era of climate volatility and economic uncertainty, the insurance industry is turning towards data science for driving sustainability. By using advanced analytics and machine learning, insurers can assess risks and optimize pricing for the better. Harnessing data science for sustainable insurance enables the sector to not only enhance operational efficiency and profitability, but also support environmental, social, and governance (ESG) goals. Harnessing Data Science for Sustainable Insurance explores the sustainable use of data in the insurance industry. This book navigates the evolving landscape of data-driven strategies, unveiling the potential to enhance the insurance industry and engage consumers in unprecedented ways. Covering topics such as data analytics, applications, and sustainability, this book is an excellent resource for practitioners, researchers, academicians, and more.
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About the Author
Pooja Kansra is presently working as an Associate Professor of Economics at Mittal School of Business, Lovely Professional University, Phagwara (India). She has teaching experience of fourteen plus years. Her research areas include health economics, labour economics, gender economics, insurance and the informal sector. She is a lifetime member of the Indian Economic Association. She is an avid researcher and has presented papers at national and international conferences. She has to her credit various research papers published in Scopus Indexed Journals, including Economic and Political Weekly (EPW) and the Journal of Health Management (Sage Publications). Global Business Review (Sage Publications), International Journal of Diabetes in Developing Countries (Springer Publications), Health and Population: Perspectives and Issues (MOHFW), etc. She has published several books on the various aspects of health economics and COVID-19. She was granted three copyrights by the Government of India. She is an editorial board member/reviewer in several national and international journals.
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Hardcover. Condition: new. Hardcover. In this era of climate volatility and economic uncertainty, the insurance industry is turning towards data science for driving sustainability. By using advanced analytics and machine learning, insurers can assess risks and optimize pricing for the better. Harnessing data science for sustainable insurance enables the sector to not only enhance operational efficiency and profitability, but also support environmental, social, and governance (ESG) goals. Harnessing Data Science for Sustainable Insurance explores the sustainable use of data in the insurance industry. This book navigates the evolving landscape of data-driven strategies, unveiling the potential to enhance the insurance industry and engage consumers in unprecedented ways. Covering topics such as data analytics, applications, and sustainability, this book is an excellent resource for practitioners, researchers, academicians, and more. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. Seller Inventory # 9798337318820
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Buch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - In this era of climate volatility and economic uncertainty, the insurance industry is turning towards data science for driving sustainability. By using advanced analytics and machine learning, insurers can assess risks and optimize pricing for the better. Harnessing data science for sustainable insurance enables the sector to not only enhance operational efficiency and profitability, but also support environmental, social, and governance (ESG) goals. Harnessing Data Science for Sustainable Insurance explores the sustainable use of data in the insurance industry. This book navigates the evolving landscape of data-driven strategies, unveiling the potential to enhance the insurance industry and engage consumers in unprecedented ways. Covering topics such as data analytics, applications, and sustainability, this book is an excellent resource for practitioners, researchers, academicians, and more. Seller Inventory # 9798337318820
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