Data-based Decision Making and Digital Transformation: Nine Laws for Success

Power, Daniel J/ Heavin, Ciara

ISBN 10: 1631576585 / ISBN 13: 9781631576584

Published by Business Expert Press, 2018

About this Item

150 pages. 9.00x6.00x0.25 inches. In Stock.

Seller Inventory # x-1631576585

Bibliographic Details

• Title: Data-based Decision Making and Digital Transformation: Nine Laws for Success
• Publisher: Business Expert Press
• Publication Date: 2018
• Language: English
• ISBN 10: 1631576585
• ISBN 13: 9781631576584
• Binding: Paperback
• Condition: Brand New

About this title

Synopsis

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?

About the Author

Daniel J. Power is a Professor of Information Systems and Management at the College of Business Administration at the University of Northern Iowa, Cedar Falls, Iowa and the editor of DSSResources.COM, the Web-based knowledge repository about computerized systems that support decision making, the editor of Planning Skills.COM, and the editor of DSS News, a bi-weekly e-newsletter. Dan writes the column ""Ask Dan!"" in DSS News. Also, Dan is the Decision Support Expert at the Business Intelligence Network.