Analytics: painéis de análise de dados acadêmicos e administrativos no âmbito da Universidade Federal do Tocantins

Abstract

Institutions undergo constant changes in the globalized and dynamic world, generating new positions and perspectives. Reinventions are essential to keep up with the dynamism of the market and the new social demands of customers. Therefore, many institutions are adopting, or being "forced" to adopt, digital transformation as a tool to improve processes and services. Data analysis has been shown to be effective and necessary to achieve institutional governance and management objectives. The general objective is to propose the implementation of an academic and administrative data analysis solution to promote digital transformation, monitoring of indicators and social control at the Federal University of Tocantins. The methodological approach adopted was qualitative, since data collection took place in the natural environment, enabling a deep understanding of reality. The research was applied, seeking to produce knowledge to solve specific problems. The objective of the study was explanatory, as it aims to identify factors that cause a specificity, deepening the understanding of reality. The project's outlook was positive, as UFT has highly qualified technical and human resources in the areas of education, information technology and public management, in addition to a specialized structure of its own environments for hosting systems (Data Center), which subsidized the part with the highest direct financial cost of the project. As a result, a tool was proposed for monitoring academic and administrative data, facilitating decision-making and helping to prevent problems, such as minimizing failure, retention and dropout rates at the University, in addition to enabling the creation of new public policies. As a product of the project, the proposal for the Data Management and Governance Policy, the UFT Open Data Plan and a tool with graphic panels for analyzing and monitoring academic and administrative data, with the availability of open data, were developed.