Verena Ebner

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Ebner
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Verena
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    Item type:Publication,
    Toward a Decision Model for Master Data Application Architecture
    (IEEE, 2014-01-09)
    Baghi, Ehsan  
    ;
    Schlosser, Simon  
    ;
    Ebner, Verena  
    ;
    Otto, Boris  
    ;
    Österle, Hubert  
    Requirements such as integrated view of the customer or global business process integration make enterprise wide management of master data a prerequisite for achieving business goals. The master data application architecture, as a part of enterprise master data management, plays a critical role in enterprises. Choosing the right master data application architecture is a controversial subject in many enterprises. Unfortunately, the current state of the art in research does not provide sufficient guidance for enterprises dealing with this subject. The paper aims at overcoming this gap in research by presenting a decision model for supporting enterprises in the decision-making process regarding the choice of the right master data application architecture. To design the model, Multiple-Criteria Decision Analysis and Design Science Research Methodology were applied.
    Type:conference paper
    DOI:10.1109/HICSS.2014.475
    URI:https://www.alexandria.unisg.ch/handle/20.500.14171/87378
    Scopus© Citations 21
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    Item type:Publication,
    Measuring Master Data Quality: Findings from an Expert Survey
    (Universitätsverlag Göttingen, 2010-02-23)
    Otto, Boris  
    ;
    Ebner, Verena  
    ;
    Schumann, Matthias
    ;
    Kolbe, Lutz
    ;
    Breitner, Michael H.
    Data quality management plays a critical role in all kinds of organizations. With data being the foundation for information it is one of the most important criteria for strategic business decisions within organizations. For the assessment of a companys data quality and to monitor the effectiveness of data quality initiatives data quality has to be measured. This can be achieved by implementing a measurement system. In this research-in-progress paper, we present the results of a survey among organizations running data quality initiatives. We assessed the status quo of the implementation of data quality measurements within these companies. This study is a preliminary work of a future development of an approach to implement measurement systems.
    Type:conference paper
    URI:https://www.alexandria.unisg.ch/handle/20.500.14171/96780