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Risk-Management for Data Warehouse Systems

  • Robert M. Bruckner
  • Beate List
  • Josef Schiefer
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 2114)

Abstract

Data warehouse projects are notoriously difficult to manage and many of them end in failure. One explanation for the high failure rate is that managers are not taking prudent measures to assess and manage the risks involved in the data warehouse project. In this paper we introduce the goaldriven risk management approach of the easyREMOTEDWH framework. We classify the risks of a data warehouse system into categories of risk sources and discuss their consequences to the data warehouse project. Further, we show the relevance of risks to the go/no-go decision of the data warehouse project. Finally, we present an approach for documenting data warehouse risks.

Keywords

Risk Management Risk Statement Software Project Enterprise Architecture Risk Action 
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 2001

Authors and Affiliations

  • Robert M. Bruckner
    • 1
  • Beate List
    • 1
  • Josef Schiefer
    • 2
  1. 1.Institute of Software TechnologyVienna University of TechnologyViennaAustria
  2. 2.IBM Watson Research CenterHawthorne

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