| 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 |
A Contingency Approach to Data Governance
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