Design and Analysis of Quality Information for Data Warehouses

  • Manfred A. Jeusfeld
  • Christoph Quix
  • Matthias Jarke
Part of the Lecture Notes in Computer Science book series (LNCS, volume 1507)


Data warehouses are complex systems that have to deliver highly-aggregated, high quality data from heterogeneous sources to decision makers. Due to the dynamic change in the requirements and the environment, data warehouse system rely on meta databases to control their operation and to aid their evolution. In this paper, we present an approach to assess the quality of the data warehouse via a semantically rich model of quality management in a data warehouse. The model allows stakeholders to design abstract quality goals that are translated to executable analysis queries on quality measurements in the data warehouse’s meta database. The approach is being implemented using the ConceptBase meta database system.


Quality Measurement Data Warehouse Data Cube Source Relation Quality Goal 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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Copyright information

© Springer-Verlag Berlin Heidelberg 1998

Authors and Affiliations

  • Manfred A. Jeusfeld
    • 1
  • Christoph Quix
    • 2
  • Matthias Jarke
    • 2
  1. 1.INFOLABTilburg UniversityTilburgThe Netherlands
  2. 2.RWTH AachenInformatik VAachenGermany

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