Data-Centric Business and Applications
Evolvements in Business Information Processing and Management (Volume 2)
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Beschreibung
This book explores various aspects of data engineering and information processing. In this second volume, the authors assess the challenges and opportunities involved in doing business with information. Their contributions on business information processing and management reflect diverse viewpoints – not only technological, but also business and social.
As the global marketplace grows more and more complex due to the increasing availability of data, the information business is steadily gaining popularity and has a huge impact on modern society. Thus, there is a growing need for consensus on how business information can be created, accessed, used and managed.This book explores various aspects of data engineering and information processing. In this second volume, the authors assess the challenges and opportunities involved in doing business with information. Their contributions on business information processing and management reflect diverse viewpoints – not only technological, but also business and social.
As the global marketplace grows more and more complex due to the increasing availability of data, the information business is steadily gaining popularity and has a huge impact on modern society. Thus, there is a growing need for consensus on how business information can be created, accessed, used and managed.
Explores various aspects of data engineering and information processing Covers a broad range of relevant topics, e.g. information generation, representation, structuring, organization, storage, retrieval, navigation, human factors in information systems, and the use of information Discusses the processes and procedures used in information/data processing and management
Autor*in
Natalia Kryvinska
Themen in »Data-Centric Business and Applications«
Data-centric Business Data-driven Business Processes Data-centric Architectures Data- driven Optimisation Data-centric Models Business Metrics for Data-driven Companies/Enterprises