Business intelligence applications for university decision makers

Abstract

The development of a Business Intelligence Application starts with the execution of OLAP queries to extract information from data stored in a Data Warehouse. The results of these queries, together with an opportune data representation, offer a deep synthesis of data and help business users to better discover hidden knowledge than using conventional database queries. Nowadays, information discovery is getting more and more important also in academic environments, because internal evaluation teams have to provide the guidelines to improve the quality of both Didactics and Research. In this paper, we present an approach to implement Business Intelligence technology in the University context. The architecture of the data warehouse and examples of analytic queries for the didactics management are also presented and discussed.

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