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New paradigms in big data technology and business analyticsproceedings of the International Conference on Big Data Technology and Business Analytics /

Record Type:	Electronic resources : Monograph/item
Title/Author:	New paradigms in big data technology and business analyticsedited by Srikanta Patnaik, Madjid Tavana, Vipul Jain.
Reminder of title:	proceedings of the International Conference on Big Data Technology and Business Analytics /
other author:	Patnaik, Srikanta.
corporate name:
Published:	Cham :Springer Nature Switzerland :2025.
Description:	xxiv, 446 p. :ill. (some col.), digital ;24 cm.
Contained By:	Springer Nature eBook
Subject:	BusinessCongresses.Data processing
Online resource:	https://doi.org/10.1007/978-3-031-96653-8
ISBN:	9783031966538$q(electronic bk.)

New paradigms in big data technology and business analyticsproceedings of the International Conference on Big Data Technology and Business Analytics /
New paradigms in big data technology and business analyticsproceedings of the International Conference on Big Data Technology and Business Analytics /[electronic resource] :edited by Srikanta Patnaik, Madjid Tavana, Vipul Jain. - Cham :Springer Nature Switzerland :2025. - xxiv, 446 p. :ill. (some col.), digital ;24 cm. - Lecture notes in networks and systems,14942367-3389 ;. - Lecture notes in networks and systems ;v.1..

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.

"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.

ISBN: 9783031966538$q(electronic bk.)

Standard No.: 10.1007/978-3-031-96653-8doiSubjects--Topical Terms:

443284
Business
--Data processing--Congresses.

LC Class. No.: QA76.9.B45

Dewey Class. No.: 005.7

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