Geodesic
Academic Data Warehouse Design Using a Hybrid Methodology
Computer Science and Information Systems, Tome 12 (2015) no. 1 Cet article a éte moissonné depuis la source Computer Science and Information Systems website

Voir la notice de l'article

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.
Keywords: Business intelligence system; decision making; data warehouse architecture; multidimensional modelling 
@article{CSIS_2015_12_1_a7,
     author = {Francesco Di Tria and Ezio Lefons and Filippo Tangorra},
     title = {Academic {Data} {Warehouse} {Design} {Using} a {Hybrid} {Methodology}},
     journal = {Computer Science and Information Systems},
     year = {2015},
     volume = {12},
     number = {1},
     url = {http://geodesic.mathdoc.fr/item/CSIS_2015_12_1_a7/}
}
TY  - JOUR
AU  - Francesco Di Tria
AU  - Ezio Lefons
AU  - Filippo Tangorra
TI  - Academic Data Warehouse Design Using a Hybrid Methodology
JO  - Computer Science and Information Systems
PY  - 2015
VL  - 12
IS  - 1
UR  - http://geodesic.mathdoc.fr/item/CSIS_2015_12_1_a7/
ID  - CSIS_2015_12_1_a7
ER  - 
%0 Journal Article
%A Francesco Di Tria
%A Ezio Lefons
%A Filippo Tangorra
%T Academic Data Warehouse Design Using a Hybrid Methodology
%J Computer Science and Information Systems
%D 2015
%V 12
%N 1
%U http://geodesic.mathdoc.fr/item/CSIS_2015_12_1_a7/
%F CSIS_2015_12_1_a7
Francesco Di Tria; Ezio Lefons; Filippo Tangorra. Academic Data Warehouse Design Using a Hybrid Methodology. Computer Science and Information Systems, Tome 12 (2015) no. 1. http://geodesic.mathdoc.fr/item/CSIS_2015_12_1_a7/