Big data governance and perspectives in knowledge management

Sheryl Kruger Strydom (University of South Africa, South Africa), Moses Strydom (University of South Africa, South Africa), editors

"This book explores the complex value and governance issues that arise as a consequence of the big data phenomenon and provides examples of best practices found in organizations concerning teaching and learning in academia and the business-industrial environment. It also investigates improving the profitability and success of different enterprises"--

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Year of publication:	[2019]
Other Persons:	Strydom, Sheryl Kruger (ed.) ; Strydom, Moses (ed.)
Publisher:	Hershey, Pennsylvania : IGI Global
Subject:	Data Mining \| Data mining \| Wissensmanagement \| Knowledge management \| Informationsmanagement \| Information management \| Big Data \| Big data

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Extent:	1 Online-Ressource (xvi, 304 Seiten)
Series:	Advances in knowledge acquisition, transfer, and management (AKATM) book series
Type of publication:	Book / Working Paper
Language:	English
Notes:	Includes bibliographical references and index. - Description based on title screen (IGI Global, viewed 10/18/2018) Restricted to subscribers or individual electronic text purchasers Mode of access: World Wide Web Chapter 1. Making the most of big data for financial stability purposes -- Chapter 2. Big data and official statistics -- Chapter 3. The big data research ecosystem: an analytical literature study -- Chapter 4. Optimization of aerospace big data including integrated health monitoring with the help of data analytics -- Chapter 5. Classification techniques and data mining tools used in medical bioinformatics -- Chapter 6. Big data and people management: the prospect of HR managers -- Chapter 7. Big data, semantics, and policy-making: how can data dynamics lead to wiser governance? -- Chapter 8. Big data governance in agile and data-driven software development: a market entry case in the educational game industry -- Chapter 9. The link between innovation and prosperity: how to manage knowledge for the individual's and society's benefit from big data governance? -- Chapter 10. Big data for prediction: patent analysis patenting big data for prediction analysis -- Chapter 11. The components of big data and knowledge management will change radically how people collaborate and develop complex research Also available in print.
ISBN:	978-1-5225-7078-3 ; 1-5225-7077-2 ; 978-1-5225-7077-6
Other identifiers:	10.4018/978-1-5225-7077-6 [DOI]
Source:	ECONIS - Online Catalogue of the ZBW

Persistent link: https://www.econbiz.de/10012393298