Data-Based Decision Making and Digital Transformation (ePub)
Nine Laws for Success
(Sprache: Englisch)
Digital disruption is accelerating. Implementing a successful digital transformation strategy requires that senior managers make trade-off decisions to reinvent a business. Equally important all decision makers must learn to ask the right questions, use...
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Digital disruption is accelerating. Implementing a successful digital transformation strategy requires that senior managers make trade-off decisions to reinvent a business. Equally important all decision makers must learn to ask the right questions, use data and computer support in decision making, and increase their knowledge and skills. Creating a data-centric culture and rewarding data-based decision making leads to successful digital transformation. Join the digital journey. This book is targeted at managers, especially middle-level managers who are trying to come to grips with using data-based decision making in a transforming organization. The authors explore a number of broad questions including: How can managers become data-based decision makers? How can digital transformation become part of an organizational strategy? What new skills do managers need to implement digital transformation? How will we know an organization has been successfully transformed?
Autoren-Porträt von Daniel J. Power, Ciara Heavin
Dr. Daniel J. "Dan" Power is a professor of information systems at the University of Northern Iowa, Cedar Falls, Iowa. He is the editor of DSSResources.com, editor of the Journal of the Midwest Association for Information Systems (JMWAIS.org), and editor of Decision Support News, a bi-weekly e-newsletter. Dan was the founding chair of the Association for Information Systems Special Interest Group on Decision Support and Analytics (SIG DSA). He has published more than 80 refereed articles. book chapters, and proceedings papers, as well as 5 books.
Bibliographische Angaben
- Autoren: Daniel J. Power , Ciara Heavin
- 2018, 106 Seiten, Englisch
- Verlag: Business Expert Press
- ISBN-10: 1631576593
- ISBN-13: 9781631576591
- Erscheinungsdatum: 31.05.2018
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- Dateiformat: ePub
- Größe: 1.23 MB
- Mit Kopierschutz
Sprache:
Englisch
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