A Contingency Approach to Data Governance

Item Type Conference or Workshop Item (Paper)
Abstract Enterprises need data quality management (DQM) to respond to strategic and operational challenges demanding high-quality corporate data. Hitherto, companies have assigned accountabilities for DQM mostly to IT departments. They have thereby ignored the organizationalissues that are critical to the success of DQM. With data governance, however, companies implement corporate-wide accountabilities for DQM that encompass professionals from business and IT. This paper outlines a data governance model comprised of three components that build a matrix comparable to an RACI chart: data quality roles, decision areas, and responsibilities. The data governance model documents the data quality roles and their type of interaction with DQM activities. In addition, the paper identifies contingency factors that impact the model configuration. Companies can structure their company-specific data governance model based on these findings.
Authors Wende, Kristin & Otto, Boris
Editors Robert, Mary Ann; O'Hare, Robert; Markus, M. Lynne & Klein, Barbara
Research Team CDQ, IWI2
Language English
Keywords Data Governance, Contingency Theory, IT Governance, CDQ, Datenqualitätsmanagement
Subjects information management
HSG Classification not classified
Refereed Yes
Date 10 November 2007
Place of Publication Cambridge, USA
Page Range 163-176
Number of Pages 14
Title of Book Proceedings of 12th International Conference on Information Quality
Event Title 12th International Conference on Information Quality (IQ-2007)
Event Location Cambridge, USA
Event Dates 09.-11.11.2007
Depositing User Kristin Wende
Date Deposited 13 Nov 2007 12:15
Last Modified 20 Jul 2022 17:11
URI: https://www.alexandria.unisg.ch/publications/213308



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Wende, Kristin & Otto, Boris: A Contingency Approach to Data Governance. 2007. - 12th International Conference on Information Quality (IQ-2007). - Cambridge, USA.


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