Academic Data Warehouse Design Using a Hybrid Methodology

Francesco Di Tria1, Ezio Lefons1 and Filippo Tangorra1

  1. Dipartimento di Informatica, Università degli Studi di Bari Aldo Moro
    Via Orabona 4, 70125 Bari, Italy
    {francesco.ditria, ezio.lefons, filippo.tangorra}@uniba.it

Abstract

In the last years, data warehousing has got attention from Universities which are now adopting business intelligence solutions in order to analyze crucial aspects of the academic context. In this paper, we present the architecture of a Business Intelligence system for academic organizations. Then, we illustrate the design process of the data warehouse devoted to the analysis of the main factors affecting the importance and the quality level of every University, such as the evaluation of the Research and the Didactics. The design process we describe is based on a hybrid methodology that is largely automatic and relies on an ontological approach for the integration of the different data sources.

Key words

Business intelligence system; decision making; data warehouse architecture; multidimensional modelling

Digital Object Identifier (DOI)

https://doi.org/10.2298/CSIS140325087D

Publication information

Volume 12, Issue 1 (January 2015)
Year of Publication: 2015
ISSN: 1820-0214 (Print) 2406-1018 (Online)
Publisher: ComSIS Consortium

Full text

DownloadAvailable in PDF
Portable Document Format

How to cite

Tria, F. D., Lefons, E., Tangorra, F.: Academic Data Warehouse Design Using a Hybrid Methodology. Computer Science and Information Systems, Vol. 12, No. 1, 135–160. (2015)