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New Paradigms in Big Data Technology and Business Analytics emphasize the integration of Big Data Technology and Business Analytics enables organizations to transform vast volumes of data into strategic insights, driving smarter decisions, operational efficiency, and innovative growth. This volume presents a comprehensive exploration of the evolving landscape of Big Data Technology and Business Analytics, showcasing transformative approaches that are reshaping industries and research alike. It highlights the integration of advanced tools such as artificial intelligence, machine learning, data mining, and cloud infrastructure to drive intelligent decision-making and operational efficiency. Focusing on both theoretical frameworks and real-world case studies, this book explores into five essential domains:
- Big Data Infrastructure and Technologies,
- Data Mining and Machine Learning,
- Big Data Applications and Case Studies,
- Business Intelligence and Decision Support, and
- Data Governance and Ethics.
By merging theoretical knowledge with practical applications, this book equips educators, researchers, practitioners, and students with actionable insights into how data-driven strategies can unlock sustainable growth and innovation across sectors. With a forward-thinking vision, it addresses key issues like data privacy, algorithmic fairness, and strategic deployment of analytics in diverse environments. By blending emerging technologies with practical applications, this book serves as a roadmap for anyone aiming to harness the full potential of big data to reshape modern business and society.
List of contents
.- Overview of Research on Compliance Testing of Data Standards in the Transportation Sector.- Design and Implementation of a Supply Chain Traceability System Based on Blockchain Technology.- A Data Synchronization Desensitization System Based on Format-Preserving Encryption.- Research on the Development Strategy of Smart Tourism Driven by Big Data Platform.- Construction of digital twins model for logistics finance, etc.
About the author
Prof. (Dr.) Srikanta Patnaik is the Chairman & Founder Director of IIMT, Bhubaneswar. Presently, He is Editors-in-Chief of International Journal of Information and Communication Technology and International Journal of Computational Vision and Robotics published from Inderscience Publishing House, England and also Editors-in-chief of Book Series on “Modeling and Optimization in Science and Technology” published from Springer, Germany.
Prof. (Dr.) Madjid Tavana is a Professor and Distinguished Chair of Business Analytics at La Salle University, where he serves as Chairman of the Business Systems and Analytics Department. Dr. Tavana is the Editor-in-Chief of Decision Analytics Journal, Space Mission Planning and Operations, International Journal of Applied Decision Sciences, International Journal of Communication Networks and Distributed Systems, and many more.
Dr. Vipul Jain is currently Associate Professor of Supply Chain and Logistics Management at School of Accounting, Information and Supply Chain Management, RMIT, Australia. Previously he was Associate professor at Victoria University of Wellington, New Zealand, where he made notable contributions as Undergraduate Programme Director, PhD programme Director and Research Director for the School of Management.
Summary
“New Paradigms in Big Data Technology and Business Analytics” emphasize the integration of Big Data Technology and Business Analytics enables organizations to transform vast volumes of data into strategic insights, driving smarter decisions, operational efficiency, and innovative growth. This volume presents a comprehensive exploration of the evolving landscape of Big Data Technology and Business Analytics, showcasing transformative approaches that are reshaping industries and research alike. It highlights the integration of advanced tools such as artificial intelligence, machine learning, data mining, and cloud infrastructure to drive intelligent decision-making and operational efficiency. Focusing on both theoretical frameworks and real-world case studies, this book explores into five essential domains:
- Big Data Infrastructure and Technologies,
- Data Mining and Machine Learning,
- Big Data Applications and Case Studies,
- Business Intelligence and Decision Support, and
- Data Governance and Ethics.
By merging theoretical knowledge with practical applications, this book equips educators, researchers, practitioners, and students with actionable insights into how data-driven strategies can unlock sustainable growth and innovation across sectors. With a forward-thinking vision, it addresses key issues like data privacy, algorithmic fairness, and strategic deployment of analytics in diverse environments. By blending emerging technologies with practical applications, this book serves as a roadmap for anyone aiming to harness the full potential of big data to reshape modern business and society.
