Case study explores self-assessment outcomes in higher education institutions, indicating the role of business intelligence in data processing.
Brazilian Higher Education Institutions (HEIs) periodically undergo self-assessment processes to identify weaknesses and opportunities for improvement. These evaluations help analyze issues such as dropout rates, inadequate infrastructure, and student disengagement, supporting the development of strategic actions. This paper presents AVIN, a tool designed to facilitate this process by leveraging Business Intelligence (BI) concepts. AVIN enables HEIs to collect, process, and visualize data efficiently, providing reliable insights for decision-making. The tool aligns with the Ministry of Education self-assessment framework, integrating institutional participant groups to ensure accurate data retrieval and visualization.
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Araújo et al. (2025) studied this question.
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