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A Comparison of Data Warehouse Development Methodologies Case Study of the Process Warehouse

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Database and Expert Systems Applications (DEXA 2002)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 2453))

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Abstract

Building a data warehouse is a very challenging issue because compared to software engineering it is quite a young discipline and does not yet offer well-established strategies and techniques for the development process. Current data warehouse development methods can fall within three basic groups: data-driven, goal-driven and user-driven. All three development approaches have been applied to the Process Warehouse that is used as the foundation of a process-oriented decision support system, which aims to analyse and improve business processes continuously. In this paper we evaluate all three development methodologies by various assessment criteria. The aim is to establish a link between the methodology and the requirement domain.

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Author information

Authors and Affiliations

  1. Institute of Software Technology and Interactive Systems, Vienna University of Technology, 1040, Wien, Austria

    Beate List, Robert M. Bruckner & Karl Machaczek

  2. IBM Research Division, Thomas J. Watson Research Center, 10598, Yorktown Heights, NY, USA

    Josef Schiefer

Authors
  1. Beate List
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  2. Robert M. Bruckner
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  3. Karl Machaczek
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  4. Josef Schiefer
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Editor information

Editors and Affiliations

  1. Université Paul Sabatier, IRIT, 118 route de Narbonne, 31062, Toulouse Cedex, France

    Abdelkader Hameurlain

  2. Département Informatique, Université Aix-Marseille II, IUT, 413 Avenue Gaston Berger, 13625, Aix-en-Provence Cedex 1, France

    Rosine Cicchetti

  3. Institute of Applied Computer Science, University of Linz, Altenbergerstr. 69, 4040, Linz, Austria

    Roland Traunmüller

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© 2002 Springer-Verlag Berlin Heidelberg

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List, B., Bruckner, R.M., Machaczek, K., Schiefer, J. (2002). A Comparison of Data Warehouse Development Methodologies Case Study of the Process Warehouse. In: Hameurlain, A., Cicchetti, R., Traunmüller, R. (eds) Database and Expert Systems Applications. DEXA 2002. Lecture Notes in Computer Science, vol 2453. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-46146-9_21

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  • DOI: https://doi.org/10.1007/3-540-46146-9_21

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-44126-7

  • Online ISBN: 978-3-540-46146-3

  • eBook Packages: Springer Book Archive

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