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O Business Intelligence como apoio ao processo de tomada de decisão no ensino superior em Portugal
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Resumo(s)
As Instituições de Ensino Superior enfrentam desafios crescentes na gestão da informação
e na tomada de decisão, decorrentes do aumento do número de alunos, da diversidade da
oferta formativa e da necessidade de cumprir metas institucionais e políticas públicas,
assegurando simultaneamente a qualidade do ensino.
Este estudo tem como objetivo compreender de que forma o Business Intelligence
contribui para as decisões estratégicas nas IES. Para além da revisão da literatura, foi
efetuada uma análise multidimensional da evolução do número de alunos inscritos entre
os anos letivos de 2019/2020 e 2023/2024.
A revisão da literatura permitiu contextualizar o ensino superior em Portugal,
identificando os principais indicadores de desempenho e a relevância das ferramentas de
Business Intelligence como apoio à tomada de decisão por parte dos gestores.
Com base na metodologia CRISP-DM (Cross-Industry Standard Process for Data
Mining), foi desenvolvida uma solução de Business Intelligence com recurso ao Microsoft
Power BI, estruturada num modelo multidimensional e materializada em dashboards
interativos.
Os resultados evidenciam a concentração de alunos em regiões-chave, a predominância
do ensino público, as variações por área de estudo e a estabilidade na procura pelo ensino
superior. A investigação demonstrou que o sucesso da implementação das ferramentas de
Business Intelligence depende da maturidade digital das IES, da interoperabilidade dos
sistemas, da qualidade dos dados e da capacidade de adaptação organizacional às novas
tecnologias.
Conclui-se que o Business Intelligence constitui um instrumento estratégico de apoio à
gestão académica, permitindo monitorizar o desempenho institucional, alinhar-se com as
políticas públicas e promover decisões mais informadas e sustentáveis.
Higher Education Institutions face increasing challenges in information management and decision-making, arising from the growing number of students, the diversity of educational offerings, and the need to meet institutional goals and public policies, while simultaneously ensuring the quality of education. This study aims to understand how Business Intelligence contributes to strategic decision-making in HEIs. In addition to the literature review, a multidimensional analysis was carried out on the evolution of the number of enrolled students between the academic years 2019/2020 and 2023/2024. The literature review enabled the contextualisation of higher education in Portugal, identifying key performance indicators and the relevance of Business Intelligence tools as support for decision-making by managers. Based on the CRISP-DM methodology (Cross-Industry Standard Process for Data Mining), a Business Intelligence solution was developed using Microsoft Power BI, structured in a multidimensional model and materialised in interactive dashboards. The results highlight the concentration of students in key regions, the predominance of public education, variations by field of study, and the stability in demand for higher education. The research showed that the success of implementing Business Intelligence tools depends on the digital maturity of HEIs, system interoperability, data quality, and the organisational capacity to adapt to new technologies. It is concluded that Business Intelligence constitutes a strategic tool to support academic management, enabling the monitoring of institutional performance, alignment with public policies, and the promotion of more informed and sustainable decisions.
Higher Education Institutions face increasing challenges in information management and decision-making, arising from the growing number of students, the diversity of educational offerings, and the need to meet institutional goals and public policies, while simultaneously ensuring the quality of education. This study aims to understand how Business Intelligence contributes to strategic decision-making in HEIs. In addition to the literature review, a multidimensional analysis was carried out on the evolution of the number of enrolled students between the academic years 2019/2020 and 2023/2024. The literature review enabled the contextualisation of higher education in Portugal, identifying key performance indicators and the relevance of Business Intelligence tools as support for decision-making by managers. Based on the CRISP-DM methodology (Cross-Industry Standard Process for Data Mining), a Business Intelligence solution was developed using Microsoft Power BI, structured in a multidimensional model and materialised in interactive dashboards. The results highlight the concentration of students in key regions, the predominance of public education, variations by field of study, and the stability in demand for higher education. The research showed that the success of implementing Business Intelligence tools depends on the digital maturity of HEIs, system interoperability, data quality, and the organisational capacity to adapt to new technologies. It is concluded that Business Intelligence constitutes a strategic tool to support academic management, enabling the monitoring of institutional performance, alignment with public policies, and the promotion of more informed and sustainable decisions.
Descrição
Palavras-chave
Business Intelligence Microsoft Power BI Ensino superior KPI’s Instituições de ensino superior Higher Education Higher Education Institutions