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Data Analytics and Management for the Digital Economy: Innovations, Applications and Strategic Perspectives
Dr. Pooja Gupta, Prof. (Dr.) Anju Bhandari Gandhi and Dr. Stuti Mehla
Format
Paperback and e – book
ISBN
978-81-69295-09-3
DOI
doi.org/10.5281/zenodo.21552140
Pages
328 Pages
Price
Rs. 999/- ( $80 )
Data Analytics and Management for the Digital Economy: Innovations, Applications, and Strategic Perspectives explores the transformative role of data analytics in shaping modern organizations, industries, and societies. As businesses increasingly rely on digital technologies, the ability to collect, manage, analyze, and interpret data has become essential for achieving operational excellence, innovation, and strategic competitiveness. This edited volume presents contemporary research on the theories, methodologies, and practical applications of data analytics across multiple domains. The chapters examine key areas such as big data analytics, artificial intelligence, machine learning, business intelligence, predictive and prescriptive analytics, cloud computing, digital transformation, financial analytics, healthcare analytics, marketing analytics, supply chain management, e-governance, retail analytics, and data governance. The book also addresses emerging challenges related to data privacy, ethics, cybersecurity, regulatory compliance, and responsible data management. Through interdisciplinary perspectives, empirical research, and real-world case studies, it highlights how organizations can effectively leverage data-driven strategies to improve decision-making, foster innovation, enhance customer experiences, and achieve sustainable growth. Designed for researchers, academicians, students, business leaders, data professionals, policymakers, and technology practitioners, this volume serves as a comprehensive reference for understanding the strategic importance of data analytics in the digital economy. It provides valuable insights into emerging trends, innovative practices, and future directions that will shape data-driven organizations in the years ahead. By integrating academic rigor with practical relevance, this book contributes to the growing body of knowledge on data analytics and digital management and serves as an important resource for advancing research, policy, and organizational excellence in the digital era.
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Prof. (Dr.) Anju Bhandari Gandhi is a distinguished academic and research leader with 19 years of extensive experience in Computer Science and Engineering. She is currently serving as the Professor Incharge of Research & Development at the Panipat Institute of Engineering and Technology, Panipat, where she provides strategic direction for the institution's research endeavors. Holding a B.Tech, M.Tech, and Ph.D. in CSE, Dr. Gandhi has a formidable publication record, with 65 research papers in reputed, Scopus-indexed international journals. Her research expertise is centered on cutting-edge domains including Artificial Intelligence, Machine Learning, and Data Science. A dynamic organizer, she has convened numerous high-profile technical events, including international conferences, seminars, Faculty Development Programs (FDPs), workshops, and training sessions. Her contributions to research and innovation have been recognized through multiple awards and grants, most notably her pivotal role in securing and establishing an AICTE Idea Lab. Her scholarly work can be accessed through her ORCID profile: 0000-0002-4178-3035.
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Dr. Stuti Mehla is an Associate Professor in the Computer Science and Engineering department at PIET. With a robust academic foundation, she earned her B.Tech. and M.Tech. from Kurukshetra University and her Ph.D. in CSE from Maharishi Markandeshwar University, Mullana in 2022. Boasting over a decade of experience, Dr. Mehla has established a strong research profile, having published more than 20 articles in esteemed international journals and presented her work at numerous conferences. Her research expertise lies in the cutting-edge domains of Artificial Intelligence, Machine Learning, Data Science, and Recommendation Systems. She is an active contributor to the global professional community, holding memberships in both the IEEE and the ACM. Her research can be explored further via her ORCID: 0000-0003- 0220-8860.
Dr. Pooja Gupta is an Associate Professor at the Panipat Institute of Engineering and Technology, Samalkha, Haryana. She is a seasoned management professional with over 16 years of academic experience, specializing in Finance, Banking, and Accounting. She earned her Ph.D. from Guru Jambheshwar University, Hisar, with a research focus on Foreign Investors and the Stock Market. Dr. Gupta has made significant contributions to academic research, with numerous publications in reputed national and international journals, and has actively participated in various conferences and seminars. In addition to her research work, she has served as an editor for more than five academic books and has authored four books in her area of expertise. Her academic and research pursuits reflect a strong commitment to advancing knowledge in the field of finance and management.