DaWaK 2001 Paper Abstract

Risk-Management for Data Warehouse Systems

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 goal-driven risk management approach of the easyREMOTE^DWH 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.

Authors:

Robert M. Bruckner
Institute of Software Technology, Vienna University of Technology, Austria.

Beate List
Institute of Software Technology, Vienna University of Technology, Austria.

Josef Schiefer
IBM Watson Research Center, New York, USA.

Publishing Information:

In Proceedings of the Third International Conference on Data Warehousing and Knowledge Discovery (DaWaK 2001), LNCS 2114, Springer Verlag, pp. 219-229, Munich, Germany, September 2001.