Overview
- Shares the latest research on digital economy, business analytics, and big data analytics applications
- Presents the results of the 17th Annual Scientific International Conference for Business (SICB2021)
- Aids researchers, practitioners, and decisions makers to gain enough knowledge
Part of the book series: Studies in Computational Intelligence (SCI, volume 1010)
Access this book
Tax calculation will be finalised at checkout
Other ways to access
About this book
This book is about turning data into smart decisions, knowledge into wisdom and business into business intelligence and insight. It explores diverse paradigms, methodologies, models, tools and techniques of the emerging knowledge domain of digitalized business analytics applications.
The book covers almost every crucial aspect of applied artificial intelligence in business, smart mobile and digital services in business administration, marketing, accounting, logistics, finance and IT management.
This book aids researchers, practitioners and decisions makers to gain enough knowledge and insight on how to effectively leverage data into competitive intelligence.
Similar content being viewed by others
Keywords
Table of contents (57 papers)
Editors and Affiliations
Bibliographic Information
Book Title: Digital Economy, Business Analytics, and Big Data Analytics Applications
Editors: Saad G. Yaseen
Series Title: Studies in Computational Intelligence
DOI: https://doi.org/10.1007/978-3-031-05258-3
Publisher: Springer Cham
eBook Packages: Intelligent Technologies and Robotics, Intelligent Technologies and Robotics (R0)
Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2022
Hardcover ISBN: 978-3-031-05257-6Published: 27 September 2022
Softcover ISBN: 978-3-031-05260-6Published: 28 September 2023
eBook ISBN: 978-3-031-05258-3Published: 26 September 2022
Series ISSN: 1860-949X
Series E-ISSN: 1860-9503
Edition Number: 1
Number of Pages: XII, 739
Number of Illustrations: 29 b/w illustrations, 101 illustrations in colour
Topics: Data Engineering, Computational Intelligence, IT in Business