Design Dimensions for Enterprise-Wide Data Management: A Chief Data Officer’s Journey

Date
2020-01-07
Authors
Schilling, Raphael
Aier, Stephan
Winter, Robert
Haki, Kazem
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Abstract
To unlock additional business value, most enterprises are intensifying their enterprise-wide data management. In the case of the globally operating bank, we base this article on, a Chief Data Officer (CDO) organization is established for providing data governance and, in a second step, pushing data driven innovation forward. As many employees of the bank were not yet familiar with (or did not acknowledge) the need for enterprise-wide data management, this evolution exhibits characteristics of an organizational learning process. CDOs may want to actively steer this learning process by purposefully designing and adjusting their data management approach over time. Based on the major controversies the CDO has been confronted with, we propose four design dimensions for enterprise-wide data management and discuss the considerations for their configuration: (I) objective, (II) governance, (III) organization of data analytics, and (IV) expertise.
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Keywords
Practice-based IS Research, case study, chief data officer, design dimensions, enterprise-wide data management
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