Hüner, KaiKaiHünerOfner, MartinMartinOfnerOtto, BorisBorisOttoShin, Dongwan2023-04-132023-04-132009https://www.alexandria.unisg.ch/handle/20.500.14171/7698810.1145/1529282.1529334High-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 companys 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.enCorporate Data QualityControllingCorporate Data Quality Maturity AssessmentData Quality Managementconference paper