One Size Does Not Fit All---A Contingency Approach to Data Governance
- 1 June 2009
- journal article
- Published by Association for Computing Machinery (ACM) in Journal of Data and Information Quality
- Vol. 1 (1), 1-27
- https://doi.org/10.1145/1515693.1515696
Abstract
Enterprizes need Data Quality Management (DQM) to respond to strategic and operational challenges demanding high-quality corporate data. Hitherto, companies have mostly assigned accountabilities for DQM to Information Technology (IT) departments. They have thereby neglected the organizational issues critical to successful DQM. With data governance, however, companies may implement corporate-wide accountabilities for DQM that encompass professionals from business and IT departments. This research aims at starting a scientific discussion on data governance by transferring concepts from IT governance and organizational theory to the previously largely ignored field of data governance. The article presents the first results of a community action research project on data governance comprising six international companies from various industries. It outlines a data governance model that consists of three components (data quality roles, decision areas, and responsibilities), which together form a responsibility assignment matrix. The data governance model documents data quality roles and their type of interaction with DQM activities. In addition, the article describes a data governance contingency model and demonstrates the influence of performance strategy, diversification breadth, organization structure, competitive strategy, degree of process harmonization, degree of market regulation, and decision-making style on data governance. Based on these findings, companies can structure their specific data governance model.Keywords
This publication has 29 references indexed in Scilit:
- From customer data to value: What is lacking in the information chain?Journal of Database Marketing & Customer Strategy Management, 2006
- Invisible data quality issues in a CRM implementationJournal of Database Marketing & Customer Strategy Management, 2005
- Exemplifying Business Opportunities for Improving Data Quality from Corporate Household ResearchSSRN Electronic Journal, 2004
- Managing Data Quality in Dynamic Decision EnvironmentsJournal of Database Management, 2003
- Horizontal Mechanisms under Differing IS Organization ContextsMIS Quarterly, 1999
- Arrangements for Information Technology Governance: A Theory of Multiple ContingenciesMIS Quarterly, 1999
- Diversity in information systems action research methodsEuropean Journal of Information Systems, 1998
- A product perspective on total data quality managementCommunications of the ACM, 1998
- Factors Affecting the Policy for Distributing Computing ResourcesMIS Quarterly, 1989
- An Assessment of the Scientific Merits of Action ResearchAdministrative Science Quarterly, 1978