Overview
- Studies challenges and opportunities of data/information processing and management
- Covers methods and techniques, as well as strategies for the efficient information/data processing and management
- Provides solutions to manage information/data competently in order to increase its business usage
- Analyzes strategies for lowering information/data loss, while improving customer satisfaction and maintenance levels
Part of the book series: Lecture Notes on Data Engineering and Communications Technologies (LNDECT, volume 69)
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About this book
This book, building on the authors’ previous work, presents new communication and networking technologies, challenges and opportunities of information/data processing and transmission. It also discusses the development of more intelligent and efficient communication technologies, which are an essential part of current day-to-day life.
Information and Communication Technologies (ICTs) have an enormous impact on businesses and our day-to-day lives over the past three decades and continue to do so. Modern methods of business information processing are opening exciting new opportunities for doing business on the basis of information technologies. The book contains research that spans a wide range of communication and networking technologies, including wireless sensor networks, optical and telecommunication networks, storage area networks, error-free transmission and signal processing.
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Keywords
Table of contents (18 chapters)
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Front Matter
Editors and Affiliations
Bibliographic Information
Book Title: Data-Centric Business and Applications
Book Subtitle: ICT Systems—Theory, Radio-Electronics, Information Technologies and Cybersecurity
Editors: Dmytro Ageyev, Tamara Radivilova, Natalia Kryvinska
Series Title: Lecture Notes on Data Engineering and Communications Technologies
DOI: https://doi.org/10.1007/978-3-030-71892-3
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 2021
Softcover ISBN: 978-3-030-71891-6Published: 05 June 2021
eBook ISBN: 978-3-030-71892-3Published: 04 June 2021
Series ISSN: 2367-4512
Series E-ISSN: 2367-4520
Edition Number: 1
Number of Pages: XIV, 452
Number of Illustrations: 165 b/w illustrations, 94 illustrations in colour
Topics: Data Engineering, Computational Intelligence, IT in Business