Overview
- Addresses the challenges and opportunities of business information/data processing and management
- Covers methods, techniques and strategies for efficient business information/data processing and management
- Provides approaches to increase the business usage of information/data processing and management
Part of the book series: Lecture Notes on Data Engineering and Communications Technologies (LNDECT, volume 48)
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About this book
This book addresses the challenges and opportunities of information/data processing and management. It also covers a range of methods, techniques and strategies for making it more efficient, approaches to increasing its usage, and ways to minimize information/data loss while improving customer satisfaction.
Information and Communication Technologies (ICTs) and the Service Systems associated with them have had an enormous impact on businesses and our day-to-day lives over the past three decades, and continue to do so. This development has led to the emergence of new application areas and relevant disciplines, which in turn present new challenges and opportunities for service system usage.
The book provides practical insights into various aspects of ICT technologies for service systems:
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Table of contents (33 chapters)
Editors and Affiliations
Bibliographic Information
Book Title: Data-Centric Business and Applications
Book Subtitle: ICT Systems-Theory, Radio-Electronics, Information Technologies and Cybersecurity (Volume 5)
Editors: Tamara Radivilova, Dmytro Ageyev, Natalia Kryvinska
Series Title: Lecture Notes on Data Engineering and Communications Technologies
DOI: https://doi.org/10.1007/978-3-030-43070-2
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 2021
Softcover ISBN: 978-3-030-43069-6Published: 21 June 2020
eBook ISBN: 978-3-030-43070-2Published: 20 June 2020
Series ISSN: 2367-4512
Series E-ISSN: 2367-4520
Edition Number: 1
Number of Pages: XVIII, 787
Number of Illustrations: 184 b/w illustrations, 168 illustrations in colour
Topics: Computational Intelligence, Data Engineering, Cyber-physical systems, IoT