Design Dimensions for Enterprise-Wide Data Management: A Chief Data Officer’s Journey
Type
conference paper
Date Issued
2020
Author(s)
Research Team
IWI1, ACG
Abstract (De)
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.
Language
English
HSG Classification
contribution to scientific community
HSG Profile Area
SoM - Business Innovation
Pages
10
Event Title
Proc. 53rd Hawaii International Conference on System Sciences (HICSS 53)
Event Location
Wailea
Subject(s)
Division(s)
Eprints ID
258940
File(s)![Thumbnail Image]()
open.access
Name
Design Dimensions for Enterprise-wide Data Management HICSS-53.pdf
Size
476.38 KB
Format
Adobe PDF
Checksum (MD5)
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