Harnessing data for economic insights is a critical driver of innovation, competitiveness, and growth in today s digital economy. The ability to transform raw information into actionable strategies enables organizations to optimize operations, anticipate market trends, and create new revenue streams. This not only strengthens individual business but also fuels broader economic development, influencing industries, job markets, and consumer experiences. At the same time, responsible data monetization requires balancing profitability with ethical considerations to maintain trust and sustainability in the data-driven marketplace. Data-Driven Monetization Strategies for Economic Insights explores the broader implications of data-driven decision-making, emphasizing the role of economic insights in shaping business strategies, improving operational efficiency, and fostering innovation. It delves into both the strategic and practical aspects of data monetization, offering frameworks, case studies, and actionable tools to transform information into financial outcomes. Covering topics such as artificial intelligence, data assets, and monetization strategies, this book is an excellent resource for business leaders, entrepreneurs, educators, researchers, data analysts, and more.
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Dr. Tawheed Nabi is currently Assistant Professor at Mittal School of Business ACBSP USA, Accredited, Lovely Professional University, Punjab (India). Dr. Nabi received his PhD degree from DOS in Economics, Karnatak University, Dharwad and has been UGC-UPE research fellow. His expertise entails areas like International Trade, Agriculture Economics and Business Models.
Pooja Kansra is presently working as a Professor and Head of Economics at Mittal School of Business, Lovely Professional University, Phagwara, Punjab (India). She has a teaching experience of fifteen years and research experience of eleven years. Her areas of research include health economics, labor economics, gender economics, insurance and informal sector, digitalization. She is an avid researcher and presented papers in various national and international conferences. She is the recipient of several best paper awards from reputed institutions such MAIMS, IBS, NIT Srinagar, Delhi University and Lovely Professional University. She has to her credit various research papers published in Scopus Indexed Journals including Journal of Consumer Behavior (Wiley, ABDC A category), Economic and Political Weekly (EPW), 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 the convener of three conferences organized in Lovely Professional University.
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Hardcover. Zustand: new. Hardcover. Harnessing data for economic insights is a critical driver of innovation, competitiveness, and growth in today s digital economy. The ability to transform raw information into actionable strategies enables organizations to optimize operations, anticipate market trends, and create new revenue streams. This not only strengthens individual business but also fuels broader economic development, influencing industries, job markets, and consumer experiences. At the same time, responsible data monetization requires balancing profitability with ethical considerations to maintain trust and sustainability in the data-driven marketplace. Data-Driven Monetization Strategies for Economic Insights explores the broader implications of data-driven decision-making, emphasizing the role of economic insights in shaping business strategies, improving operational efficiency, and fostering innovation. It delves into both the strategic and practical aspects of data monetization, offering frameworks, case studies, and actionable tools to transform information into financial outcomes. Covering topics such as artificial intelligence, data assets, and monetization strategies, this book is an excellent resource for business leaders, entrepreneurs, educators, researchers, data analysts, 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. Bestandsnummer des Verkäufers 9798337327723
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