Análise de agrupamento aplicada no desempenho da ferramenta de transparência Fala.BR pelas IFES

Abstract

Statistics offers several important resources and techniques for decision making. For organizations, it is necessary to use statistical tools and techniques, in order to assist decision making with the use of a data processing and information production system, thus enabling, in the case of public institutions, the application of statistical techniques in the analysis of its performance in complying with legal provisions. In this sense, the present work sought to propose performance indicators on the Fala.BR transparency tool and test the potential of these indicators as classifiers of Federal Public Higher Education Institutions (IFES), based on the statistical technique of cluster analysis. For this purpose, based on a theoretical and practical study, the concepts of performance indicator, the Access to Information Law and the government transparency tool Fala.BR were understood and contextualized. Subsequently, five performance indicators were created, transforming qualitative data into quantitative. Thus, the cluster analysis technique was applied to the data belonging to the IFES and as a result it was observed that the performance indexes corresponding to the time spent with the service were considered sufficient for the satisfactory classification of the IFES, given that the three groups graduates proved to be representative and presented the characteristics of low, medium and high performance in meeting requests, with the highest presence of requests answered outside the legal deadline in the third group, lower in the second and almost non-existent in the first.