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.
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© 2001 Springer-Verlag Berlin Heidelberg
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Bruckner, R.M., List, B., Schiefer, J. (2001). Risk-Management for Data Warehouse Systems. In: Kambayashi, Y., Winiwarter, W., Arikawa, M. (eds) Data Warehousing and Knowledge Discovery. DaWaK 2001. Lecture Notes in Computer Science, vol 2114. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-44801-2_22
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DOI: https://doi.org/10.1007/3-540-44801-2_22
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Online ISBN: 978-3-540-44801-3
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