Kai M. Hüner
Former Member
Thumbnail Image
Last Name
Hüner
First name
Kai M.
Homepage

Filters

2
2
Reset filters

Settings
Now showing 1 - 2 of 2
  • Publication
    Identification of Business Oriented Data Quality Metrics
    (Curran, 2011-11-07)
    Otto, Boris
    ;
    Hüner, Kai
    ;
    Österle, Hubert
    ;
    Bowen, Paul
    ;
    Elmagarmid, Ahmed K.
    ;
    Österle, Hubert
    ;
    Sattler, Kai-Uwe
    Corporate data of poor quality can have a negative impact on the performance of business processes and thereby the success of companies. Similar to machine tools corporate data show signs of wear (imaging a moving customer with a new address, for example) and have to be monitored continuously for quality defects. Effective quality control of corporate data requires metrics that monitor potential data defects with the most significant impact on the performance of a company's processes. However, due to company specific success factors and IT landscapes, it is hardly possible to provide generic metrics that can be implemented without any adjustment. This paper presents a method for the identification of business oriented data quality metrics. The presented approach takes into account company specific requirements from both a business and an IT perspective. The method's design and evaluation process is discussed in the context of three real-world cases.
    Type: conference paper
    URI: https://www.alexandria.unisg.ch/handle/20.500.14171/93258
  • Publication
    A Meta-model for Data Quality Management Simulation
    (Curran, 2009-11-08)
    Otto, Boris
    ;
    Hüner, Kai
    ;
    Bowen, Paul
    ;
    Elmagarmid, Ahmed K.
    ;
    Österle, Hubert
    ;
    Sattler, Kai-Uwe
    Data quality management initiatives could both help to prevent the occurrence of data defects and repair their effect. While such initiatives can reduce overall costs, they also cause costs for their development and implementation. Therefore, the overall aim is not to improve data quality by any means, but to ensure cost-efficiency. The paper proposes a meta-model for simulating data quality management, which can be used for planning of cost-efficient initiatives.
    Type: conference paper
    URI: https://www.alexandria.unisg.ch/handle/20.500.14171/75338