Risk-Management for Data Warehouse Systems

Authors:
Robert M. Bruckner;Beate List;Josef Schiefer
Affiliations:
-;-;-
Venue:
DaWaK '01 Proceedings of the Third International Conference on Data Warehousing and Knowledge Discovery
Year:
2001

Citing 6
Cited 0

Theory-W Software Project Management Principles and Examples

IEEE Transactions on Software Engineering
Software engineering risk analysis and management

Software engineering risk analysis and management
Assessment and control of software risks

Assessment and control of software risks
A framework for identifying software project risks

Communications of the ACM
Software Requirements

Software Requirements
An Information Architecture for Risk Assessment and Management

IEEE Software

Quantified Score

Hi-index	0.00

Visualization

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 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.