Towards a maturity model for corporate data quality management

Authors:
Kai M. Hüner;Martin Ofner;Boris Otto
Affiliations:
University of St. Gallen, St. Gallen, Switzerland;University of St. Gallen, St. Gallen, Switzerland;University of St. Gallen, St. Gallen, Switzerland
Venue:
Proceedings of the 2009 ACM symposium on Applied Computing
Year:
2009

Citing 14
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Abstract

High-quality corporate data is a prerequisite for world-wide business process harmonization, global spend analysis, integrated service management, and compliance with regulatory and legal requirements. Corporate Data Quality Management (CDQM) describes the quality oriented organization and control of a company's key data assets such as material, customer, and vendor data. With regard to the aforementioned business drivers, companies demand an instrument to assess the progress and performance of their CDQM initiative. This paper proposes a reference model for CDQM maturity assessment. The model is intended to be used for supporting the build process of CDQM. A case study shows how the model has been successfully implemented in a real-world scenario.