Data-Driven Monetization Strategies for Economic Insights

Name: Data-Driven Monetization Strategies for Economic Insights
Price: 376.42 AUD
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ISBN: 9798337327730

Olga Ergunova, Tawheed Nabi, Pooja Kansra , Utkarsh Gupta

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Paperback

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English

Business Science Reference
30 October 2025

Economics; Data capture & analysis

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.

Edited by: Olga Ergunova, Tawheed Nabi, Pooja Kansra, Utkarsh Gupta
Imprint: Business Science Reference
Country of Publication: United States
Dimensions: Height: 254mm, Width: 178mm,
ISBN: 9798337327730
Pages: 538
Publication Date: 30 October 2025
Audience: College/higher education , Professional and scholarly , Primary , Undergraduate
Format: Paperback
Publisher's Status: Active

Dr. Tawheed Nabi is currently Assistant Professor at Mittal School of Business, Lovely Professional University, Punjab (India). Dr. Nabi received his Ph.D. 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. He has published his research ideas in journals, edited volumes, conference proceedings in the areas of International Economics, Agricultural Economics and Business Models. He has presented several papers in International and National level seminars and participated in various workshops and FDP’s. He has also guided two PhD Scholars in economics and management. Dr. Pooja Kansra is presently working as a Professor of Economics at Mittal School of Business, Lovely Professional University, Phagwara, Punjab (India). She has a teaching experience of fourteen years. Her areas of research include health economics, labor economics, gender economics, insurance, and informal sector. 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 published several books on the various aspects of health economics. She is an editorial board member/reviewer in several national and international journals. Utkarsh Gupta is an AI and ML specialist with over 8 years of experience leveraging advanced analytics and machine learning to drive impactful business outcomes. Based in New York City, Utkarsh leads a team of data scientists and data engineers at LatentView Analytics, where he collaborates with a Fortune 500 client to design and deploy advanced machine learning solutions that optimize customer acquisition, reduce churn, and enhance operational efficiency. His expertise spans predictive modeling, time series forecasting, and delivering strategic insights that have significantly enhanced client revenue and operational strategies. With a strong academic background in Business Analytics (MBA from the University of Connecticut) and Engineering, Utkarsh has a track record of creating scalable AI-driven methodologies and generating measurable impact through his work at LatentView Analytics