Data Processing Modeling in Decision Support Systems

Concepción M. Gascueña, Rafael Guadalupe

2012

Abstract

Due to the advancement of both, information technology in general, and databases in particular; data storage devices are becoming cheaper and data processing speed is increasing. As result of this, organizations tend to store large volumes of data holding great potential information. Decision Support Systems, DSS try to use the stored data to obtain valuable information for organizations. In this paper, we use both data models and use cases to represent the functionality of data processing in DSS following Software Engineering processes. We propose a methodology to develop DSS in the Analysis phase, respective of data processing modeling. We have used, as a starting point, a data model adapted to the semantics involved in multidimensional databases or data warehouses, DW. Also, we have taken an algorithm that provides us with all the possible ways to automatically cross check multidimensional model data. Using the aforementioned, we propose diagrams and descriptions of use cases, which can be considered as patterns representing the DSS functionality, in regard to DW data processing, DW on which DSS are based. We highlight the reusability and automation benefits that this can be achieved, and we think this study can serve as a guide in the development of DSS.

References

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Paper Citation


in Harvard Style

M. Gascueña C. and Guadalupe R. (2012). Data Processing Modeling in Decision Support Systems . In Proceedings of the 14th International Conference on Enterprise Information Systems - Volume 1: ICEIS, ISBN 978-989-8565-10-5, pages 133-138. DOI: 10.5220/0003982601330138


in Bibtex Style

@conference{iceis12,
author={Concepción M. Gascueña and Rafael Guadalupe},
title={Data Processing Modeling in Decision Support Systems},
booktitle={Proceedings of the 14th International Conference on Enterprise Information Systems - Volume 1: ICEIS,},
year={2012},
pages={133-138},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0003982601330138},
isbn={978-989-8565-10-5},
}


in EndNote Style

TY - CONF
JO - Proceedings of the 14th International Conference on Enterprise Information Systems - Volume 1: ICEIS,
TI - Data Processing Modeling in Decision Support Systems
SN - 978-989-8565-10-5
AU - M. Gascueña C.
AU - Guadalupe R.
PY - 2012
SP - 133
EP - 138
DO - 10.5220/0003982601330138