Overview
- Explores various aspects of information processing for effective enterprise management, including methods and techniques
- Offers practical knowledge on different facets of information and knowledge management in businesses
- Focuses on applications, benefits, and encounters within efficient business information processing
Part of the book series: Lecture Notes on Data Engineering and Communications Technologies (LNDECT, volume 212)
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About this book
Embark on a journey into the future of business with a groundbreaking book that explores the dynamic interplay between data and business, unlocking its transformative power in strategy, decision-making, and application development. Dive deep into cutting-edge topics such as data governance, analytics, knowledge discovery, and AI, and gain an in-depth understanding of managing, analyzing, and extracting insights from complex data sets. This book's holistic approach sets this book apart, seamlessly integrating the latest information and knowledge management concepts. From integrating data-centric approaches into business models to addressing considerations in data-driven decisions, the diverse topics covered will provide invaluable insights into the central role of data in shaping the future of business and applications. This book sheds light on the ongoing advances in structural management, demonstrating how previously understood knowledge, technologies, and data can pave the way for sustainable solutions in the face of innovation, meet insight, and allow businesses to thrive in the digital age.
Keywords
- Information/Knowledge Centric Business
- Information/Knowledge Compelled Optimization
- Information/Knowledge-Centric Models
- Information Driven Business Processes
- Information/Knowledge Centric Architectures
- Business Metrics for Information/Knowledge Focused Companies
Editors and Affiliations
Bibliographic Information
Book Title: Data-Centric Business and Applications
Book Subtitle: Advancements in Information and Knowledge Management, Volume 3
Editors: Peter Štarchoň, Solomiia Fedushko, Katarína Gubíniová
Series Title: Lecture Notes on Data Engineering and Communications Technologies
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 2024
Hardcover ISBN: 978-3-031-60814-8Due: 13 November 2024
Softcover ISBN: 978-3-031-60817-9Due: 13 November 2025
eBook ISBN: 978-3-031-60815-5Due: 13 November 2024
Series ISSN: 2367-4512
Series E-ISSN: 2367-4520
Edition Number: 1
Number of Pages: X, 370
Number of Illustrations: 36 b/w illustrations, 91 illustrations in colour