Business Intelligence as a driver for the analysis of academic metrics

Abstract

This article tackles business intelligence as a driver for the analysis of academic metrics. As this is a relevant concept in the field of data analysis and decision-making support, the goal is to prove the benefits of the implementation of a business intelligence conceptual model in an academic institution.

For the achievement of the main objective of this article, an introduction of topic-related notions is presented in order to establish a knowledge base for the reader and to clarify the specific scope of investigation. After that, the article presents the methodology used for its creation, the results it produced and a critical analysis from the author’s point of view.

This article is developed under a narrative methodology, based on an extensive bibliographic research, followed up by a selection of several relevant authors that match the established criteria. A literary review is then constructed from an initial and non-exaustive perspective, where different approaches regarding business intelligence application are displayed, specifically in an academic environment.

It is noted that there are positive improvements on the examples where these models are applied. Results produced by this article will be the foundation for the development and implementation of a business intelligence conceptual model that offers support to the management of an investigation research center in an academic context.