A Hierarchical Clustering Approach to Support the Data Verification Process in Master Data Management
Frank Beer, Kai-Uwe Baryga · ICIQ · 2011
Over the past decades, quality on core data has become a major factor on daily business activities. Therefore enterprises are exerted to develop data management strategies in order to ensure a smooth execution of business transactions. As a result, software portals are introduced to either conduct business on maintaining and analyzing master data. In this work we are outlining a clustering approach that is useful for business-drivers in identifying and verifying hidden pattern in that discipline. In addition our method can be applied to bring content-based support to purely business-oriented master data portals.