Abstract
Due to the wide-spread use of decision support systems (DSS), methods are required by software companies. Several concepts and methods have been suggested for decision-making. The development of DSS is still complex due to the variety of architectures, the number and the type of modules which compose them.
Therefore, This paper present our method of DSS development, which is based on an architecture of 1 to 4 levels, focusing on the choice of an adapted architecture (composed of data warehouses and data marts). Our method is based on a mixed approach integrating the assessment of existing sources and user requirements. These are taken into account from the early step of DSS engineering, e.g. from the analysis step, so DSS architecture choice integrates them.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Bonifati, A., Cattaneo, F., Ceri, S., Fuggetta, A., Paraboschi, S.: Designing data marts for data warehouses. ACM Trans. Softw. Eng. Methodol. 10(4), 452–483 (2001)
Trujillo, J., Palomar, M., Gomez, J., Song, I.Y.: Designing data warehouses with OO conceptual models. Computer 34(12), 66–75 (2001)
Sen, A., Sinha, A.P.: A comparison of data warehousing methodologies. Commun. ACM 48(3), 79–84 (2005)
Luján-Mora, S., Trujillo, J.: A comprehensive method for data warehouse design. In: DMDW (2003)
Golfarelli, M., Rizzi, S., Saltarelli, E.: Wand: A case tool for workload-based design of a data mart. In: SEBD, pp. 422–426 (2002)
Kimball, R.: The data warehouse toolkit: practical techniques for building dimensional data warehouses. John Wiley & Sons, Inc., New York (1996)
Cabibbo, L., Torlone, R.: A Logical Approach to Multidimensional Databases. In: Schek, H.-J., Saltor, F., Ramos, I., Alonso, G. (eds.) EDBT 1998. LNCS, vol. 1377, pp. 155–162. Springer, Heidelberg (1998)
Golfarelli, M., Rizzi, S.: Methodological framework for data warehouse design. In: Proceedings of DOLAP 1998, ACM First International Workshop on Data Warehousing and OLAP, Bethesda, Maryland, USA, November 7, 1998, pp. 3–9. ACM, New York (1998)
Kimball, R., Reeves, L., Thornthwaite, W., Ross, M., Thornwaite, W.: The Data Warehouse Lifecycle Toolkit: Expert Methods for Designing. John Wiley & Sons, Inc., New York (1998)
Akoka, J., Comyn-Wattiau, I., Prat, N.: From uml to rolap multidimensional databases using a pivot model. Technical report (2001)
Cavero, J.M., Costilla, C., Marcos, E., Piattini, M.G., Sánchez, A.: A multidimensional data warehouse development methodology, 188–201 (2003)
Bruckner, R., List, B., Schiefer, J.: Developping requirements for data warehouse systems with use cases. In: AMCIS (1999)
Roques, P.: UML in Practice - The Art of Modeling Software Systems Demonstrated Through Worked Examples and Solutions. John Wiley & Sons, Inc., New York (2003)
Annoni, E., Ravat, F., Teste, O., Zurfluh, G.: Les systèmes d’informations décisionnels: une approche d’analyse et de conception à base de patrons. revue RSTI série ISI, Méthodes Avancées de Développement des SI 10(6) (2005)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2006 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Annoni, E., Ravat, F., Teste, O., Zurfluh, G. (2006). Automating the Choice of Decision Support System Architecture. In: Bressan, S., Küng, J., Wagner, R. (eds) Database and Expert Systems Applications. DEXA 2006. Lecture Notes in Computer Science, vol 4080. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11827405_24
Download citation
DOI: https://doi.org/10.1007/11827405_24
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-37871-6
Online ISBN: 978-3-540-37872-3
eBook Packages: Computer ScienceComputer Science (R0)