Building a real Data warehouse for Market Research

  • Authors:
  • Jens Albrecht;Wolfgang Lehner;Michael Teschke;Thomas Kirsche

  • Affiliations:
  • -;-;-;-

  • Venue:
  • DEXA '97 Proceedings of the 8th International Workshop on Database and Expert Systems Applications
  • Year:
  • 1997

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Abstract

This paper reflects the results of the evaluation phase of building a data production system for the retail research division of the GfK, Europe's largest market research company. The application specific requirements like end-user needs or data volume are very much different from data warehouses discussed in the literature, making it a real data warehouse. In a case study, these requirements are compared with state-of-the-art solutions offered by leading soft ware vendors. Each of the common architectures (MOLAP, ROLAP, HOLAP) was represented by a product. The result of this comparison is that all systems have to be massively tailored to GfK's needs, especially to cope with meta data management or the maintenance of aggregations.