Business intelligence systems: a comparative analysis

Authors:
Carlo Dell'Aquila;Francesco Di Tria;Ezio Lefons;Filippo Tangorra
Affiliations:
Dipartimento di Informatica, Università di Bari, Bari, Italy;Dipartimento di Informatica, Università di Bari, Bari, Italy;Dipartimento di Informatica, Università di Bari, Bari, Italy;Dipartimento di Informatica, Università di Bari, Bari, Italy
Venue:
WSEAS Transactions on Information Science and Applications
Year:
2008

Citing 4
Cited 3

A methodological framework for data warehouse design

Proceedings of the 1st ACM international workshop on Data warehousing and OLAP
Open OLAP

DBMS
EBizPort: collecting and analyzing business intelligence information

Journal of the American Society for Information Science and Technology
An academic data warehouse

AIC'07 Proceedings of the 7th Conference on 7th WSEAS International Conference on Applied Informatics and Communications - Volume 7

Business intelligence applications for university decision makers

WSEAS Transactions on Computers
Employee turnover: a novel prediction solution with effective feature selection

WSEAS Transactions on Information Science and Applications
Efficiency evaluation of open source ETL tools

Proceedings of the 2011 ACM Symposium on Applied Computing

Quantified Score

Hi-index	0.00

Visualization

Abstract

A set of evaluation criteria is described and considered for comparing some popular OLAP systems that support Business Intelligence. These criteria involve critical aspects such as: information delivery, system and user administration, and OLAP queries. The measurement method is based on the functional complexity analysis. Experimental results have been carried out using a data warehouse in academic environment and they allow to evidence the weaknesses and the points of force of each compared system.