Now showing 1 - 4 of 4
  • Publication
    Dealing with Complexity: A Method to adapt and implement a Maturity Model for Corporate Data Quality Management
    Reference models usually serve as starting points for developing company specific models. Unfortunately, successful usageof reference models is often impeded by various aspects, such as a lack of acceptance among employees, incorrect modelimplementation, or high project costs - all of which more often than not are resulting from an imbalance between the modelscomplexity and the complexity of a companys specific structures. The paper at hand develops a methodical approach fortaking a given reference model (the Maturity Model for Corporate Data Quality Management) and transforming it into acompany specific model, with a particular focus on the specific complexity of a companys structures. Corporate Data QualityManagement describes the quality oriented organization and control of a companys key data assets such as material,customer, and vendor data. Two case studies show how the method has been successfully implemented in real-worldscenarios.
  • Publication
    Towards a Process Reference Model for Information Supply Chain Management
    High-quality information is a prerequisite for companies to accomplish business and strategic goals,such as global reporting, customer relationship management or compliance with legal provisions.During the last years, experts in the field of information quality begun to realize that a paradigm shiftis needed to solve information quality issues in organizations. Information should be treated as aproduct and information quality is possible only through the quality management of informationsupply chains. The paper at hand contributes to this new direction by proposing a process referencemodel for quality management of information supply chains (Information Product Supply ChainManagement, IPSCM) by leveraging the SCOR-Model, a widely accepted standard for supply chainmanagement. The IPSCM-Model enables users to address, improve, and communicate informationcreation practices within and between all interested parties.
  • Publication
    Strategic Business Requirements for Master Data Management Systems
    (AIS Association for Information Systems, 2011-08-07) ;
    Master Data Management (MDM) is of increasing importance because it is seen as a promising approach in companies torespond to a number of strategic business requirements, such as complying with an increasing number of regulations,supporting internal and external business process integration, and establishing a 360-degree-view on the customer. As aresult, software vendors such as IBM, Oracle, SAP, and TIBCO are offering MDM application systems. However, the usercommunity feels a significant mismatch between their own strategic requirements and the functionality currently offered bythe software products. As the Information Systems (IS) research community has remained silent so far regarding this researchproblem, the research presented in this paper makes intensive use of knowledge from the practitioners' community in order todesign a framework for strategic business requirements to be met by MDM systems. As an outcome of a design-orientedresearch process, the framework is an artifact which advances the scientific body of knowledge while at the same timeproviding benefit for practitioners. The framework includes seven design principles which are translated into 23requirements. The requirements form a baseline for internal and external communication in companies and for the design ofconcrete MDM systems.
  • Publication
    Towards a Maturity Model for Corporate Data Quality Management
    (ACM, 2009) ; ; ;
    Shin, Dongwan
    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 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.
    Scopus© Citations 41