Contributions to Books:
B. List, R. Bruckner, K. Machaczek, J. Schiefer:
"A Comparison of Data Warehouse Development Methodologies - Case Study of the Process Warehouse";
in: "Proceedings of the 13th International Conference on Database and Expert Systems Applications (DEXA 2002)",
A. Hameurlain et al. (ed.);
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.
Created from the Publication Database of the Vienna University of Technology.