Data Processing Modeling in Decision Support Systems.

Martín Gascueña, Concepción and Guadalupe, Rafael (2012). Data Processing Modeling in Decision Support Systems.. In: "14th International Conference on Enterprise Information Systems (ICEIS)", 21/06/2012 - 24/06/2012, Polonia. pp. 201-210.

Description

Title: Data Processing Modeling in Decision Support Systems.
Author/s:
  • Martín Gascueña, Concepción
  • Guadalupe, Rafael
Item Type: Presentation at Congress or Conference (Article)
Event Title: 14th International Conference on Enterprise Information Systems (ICEIS)
Event Dates: 21/06/2012 - 24/06/2012
Event Location: Polonia
Title of Book: 14th International Conference on Enterprise Information Systems (ICEIS) Conferences
Date: 2012
Subjects:
Faculty: E.U. de Informática (UPM)
Department: Organización y Estructura de la Información [hasta 2014]
Creative Commons Licenses: Recognition - No derivative works - Non commercial

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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.

More information

Item ID: 20325
DC Identifier: http://oa.upm.es/20325/
OAI Identifier: oai:oa.upm.es:20325
Official URL: http://www.iceis.org/Home.aspx?y=2012
Deposited by: Memoria Investigacion
Deposited on: 31 Mar 2014 12:10
Last Modified: 21 Apr 2016 23:04
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