Business Intelligence in Higher Education Management Systems: A Systematic Mapping Study
Resumo
As Instituições de Ensino Superior expandiram consideravelmente nos últimos anos. Junto com essa expansão, que abrangeu o aumento do total de alunos matriculados, vagas, cursos ofertados e trabalhadores, também houve considerável aumento dos dados gerados por elas. Contudo, esses dados possivelmente não são utilizados de forma eficaz, principalmente no que tange ao apoio para a tomada de decisões estratégicas. Técnicas de Business Intelligence (BI) podem ser úteis nesse processo. Nesse estudo, buscou-se compreender e sistematizar quais estratégias de BI têm sido utilizadas nessas instituições por meio de um estudo de mapeamento sistemático. Os resultados revelaram que algumas ferramentas e técnicas são utilizadas, porém ainda existe dificuldade na implementação adequada de BI nesse contexto.
Referências
Alkayed, M. et al. (2023). “Factors analysis affecting academic achievement of undergraduate student: A study on faculty of information technology students at applied science private university”, In: International Conference on Business Analytics for Technology and Security (ICBATS), IEEE, pages 1-12.
Almeida, M. de S. (2024). “Administração da tecnologia de informação e comunicação: da informática básica à gestão do conhecimento”, 1. ed., Rio de Janeiro, RJ: Freitas Bastos.
Alves, M. O. P. (2018). “Projeto de um módulo de registro e monitoramento da evasão para o sistema acadêmico da Universidade Federal do Triângulo Mineiro – SISCAD”, Dissertação (Mestrado em Inovação Tecnológica), Universidade Federal do Triângulo Mineiro, Uberaba.
Azevedo, A. et al. (2021). “Designing and implementing a dashboard with key performance indicators for a higher education institution”, In: Proceedings of the 13th International Conference on Computer Supported Education (CSEDU 2021), pages 165-172.
Bharara, S. et al. (2018). “Application of learning analytics using clustering data mining for students’ disposition analysis”, Education and Information Technologies, v. 23, p. 957-984.
Bichsel, J. (2012). “Analytics in higher education: Benefits, barriers, progress, and recommendations”, EDUCAUSE Center for Applied Research.
Boulila, W. et al. (2023). “A business intelligence based solution to support academic affairs: Case of Taibah University”, Wireless Networks, p. 1-8.
Braccini, A. M. et al. (2021). “Business intelligence for teaching analytics: a case study”, In: Research and Innovation Forum 2020: Disruptive Technologies in Times of Change, Springer International Publishing, pages 341-351.
Braghittoni, R. (2017). “Business intelligence: Implementar do jeito certo e a custo zero”, São Paulo, SP: Casa do Código, E-book, Available in: [link]
Brasil. (2021). “Tribunal de Contas da União”, Plenário, Acórdão nº 1043/2006, Relatório de Acompanhamento (RACOM), Data da Sessão: 28/06/2006, Número da Ata: 26/2006. Available in: [link]
Cajueiro, J. G. et al. (2009). “Elementos preliminares para a construção de modelos: A contribuição da gestão do conhecimento para instituições de ensino superior”, Revista Gestão Industrial, v. 5, n. 3.
Castillo-Rojas, W. et al. (2018). “Una metodología para procesos data WareHousing basada en la experiencia”, Revista Ibérica de Sistemas e Tecnologias de Informação, n. 26, p. 83-103.
Chacón, L. Y. C. et al. (2019). “Aplicación para la gestión y el análisis de información relacionada con la deserción estudiantil universitaria”, Revista Colombiana de Computación, v. 20, n. 2, p. 6-19.
Combita Niño, H. A. et al. (2020). “Business intelligence governance framework in a university: Universidad de la costa case study”, International Journal of Information Management, v. 50, p. 405-412.
Damasceno, E. V. et al. (2018). “Business intelligence-implantation on Federal Institute of Triângulo Mineiro (IFTM) system”, In: Proceedings of the 10th International Conference on Computer Supported Education (CSEDU 2018), v. 2, pages 528-535.
Freitas Júnior, O. de G. et al. (2022). “Uma experiência com Business Intelligence para apoiar a gestão acadêmica em uma universidade federal brasileira”, Revista Ibérica de Sistemas e Tecnologias de Informacão, n. 46, p. 5-20.
Goulart, J. de M. and Esteves, P. C. L. (2024). “Gestão de universidades multicampi: Uma revisão bibliográfica”, In: XXIII Colóquio Internacional de Gestão Universitária, pages 1-16.
Grácio, J. C. A. (2012). “Preservação digital na gestão da informação: Um modelo processual para as instituições de ensino superior”, São Paulo: Cultura Acadêmica.
Gubalová, J. (2015). “The use of Business Intelligence tools for leadership and university administration”, In: 13th International Conference on Emerging eLearning Technologies and Applications (ICETA), IEEE, pages 1-7.
Gupta, P. et al. (2015). “Identifying knowledge indicators in higher education organization”, Procedia Computer Science, v. 46, p. 449-456.
Haque, W. (2018). “An interactive framework to allocate and manage teaching workload using hybrid OLAP cubes”, In: IEEE 9th Annual Information Technology, Electronics and Mobile Communication Conference (IEMCON), pages 694-700.
Hussein, A. S. and Khan, H. A. (2017). “Students’ performance tracking in distributed open education using big data analytics”, In: Proceedings of the Second International Conference on Internet of Things, Data and Cloud Computing, pages 1-8.
Instituto Nacional de Estudos e Pesquisas Educacionais Anísio Teixeira – INEP/MEC. (2022). “Resumo Técnico do Censo da Educação Superior 2022”, Available in: [link]
Jayakody, J. R. K. C. and Perera, Indika. (2016). “Enhancing competencies of less-able students to achieve learning outcomes: Learner aware tool support through Business intelligence”, In: International Conference on Teaching, Assessment, and Learning for Engineering (TALE), IEEE, pages 154-160.
Kabakchieva, D. (2015). “Business Intelligence systems for analyzing university students data”, Cybernetics And Information Technologies, v. 15, n. 1.
Karabtsev, S. et al. (2023). “Building data marts to analyze university faculty activities using power BI”, In: E3S Web of Conferences, EDP Sciences, pages 02014.
Kimball, R. and Ross, M. (2013). “The data warehouse toolkit: The definitive guide to dimensional modeling”, 3. ed., New York: John Wiley & Sons.
Kitchenham, B. and Charters, S. (2007). “Guidelines for performing systematic literature reviews in software engineering”, Technical Report EBSE, Keele University and Durham University Joint Report.
Kopnova, O. et al. (2022). “Building an information analysis system within a corporate information system for combining and structuring organization data (on the example of a university)”, Eastern-European Journal of Enterprise Technologies, v. 6, n. 2, p. 120.
Kumaran, S. R. et al. (2020). “Educational Business Intelligence framework visualizing significant features using metaheuristic algorithm and feature selection”, In: International Conference on Advances in the Emerging Computing Technologies (AECT), IEEE, pages 1-6.
Mamykova, Z. et al. (2021). “Development of the information and analytical system of the university”, Journal of Mathematics, Mechanics and Computer Science, v. 112, n. 4.
Marquesone, R. (2016). “Big data: Técnicas e tecnologias para extração de valor dos dados”, São Paulo, Casa do Código.
Medeiros Neto, J. L. (2017). “Desenvolvimento de um sistema de inteligência de negócios para apoio da gestão acadêmica”, Dissertação (Mestrado Profissional em Administração), Universidade Federal de Itajubá, Itajubá.
Miller, A. R. and Tucker, C. (2014). “Health information exchange, system size and information silos”, Journal of Health Economics, v. 33, p. 28-42.
Mirwansyah, D. et al. (2021). “Implementation of business intelligence in data and information for student admission process in Mulia University”, In: Journal of Physics: Conference Series, IOP Publishing, pages 012015.
Moscoso-Zea, O. et al. (2016). “Datawarehouse design for educational data mining”, In: 15th International Conference on Information Technology Based Higher Education and Training (ITHET), IEEE, pages 1-6.
Moscoso-Zea, O. et al. (2019). “A hybrid infrastructure of enterprise architecture and business intelligence & analytics for knowledge management in education”, IEEE Access, v. 7, p. 38778-38788.
Mulyani, S. et al. (2022). “Development of an integrated academic management system in higher education”, RES MILITARIS, v. 12, n. 2, p. 39-51.
Ong, V. et al. (2012). “Supporting institutional decision making with an intelligent student engagement tracking system”, In: Proceedings of IADIS International Conference Information Systems 2012, Berlin, Germany.
Ortiz, L. and Hallo, M. (2019). “Analytical data mart for the monitoring of university accreditation indicators”, In: IEEE World Conference on Engineering Education (EDUNINE), IEEE, pages 1-6.
Peralta, M. S. (2018). “Business Intelligence in e-learning, a case study of an Ecuadorian University”, In: XIII Latin American Conference on Learning Technologies (LACLO), IEEE, pages 29-32.
Piri, Z. et al. (2020). “Information visualization to support the decision-making process in the context of academic management”, Webology, v. 17, n. 1, p. 216-226.
Porto, C. and Régnier, K. (2003). “O ensino superior no mundo e no Brasil – Condicionantes, tendências e cenários para o horizonte 2003-2025”, Uma abordagem exploratória [Internet], Brasília: Ministério da Educação.
Rezende, D. A. (2024). “Organizational business intelligence e software business intelligence: Guia para projeto de inteligência organizacional como modelo de gestão de organizações privadas e públicas”, Curitiba, PR: Intersaberes.
Ribeiro, C. E. et al. (2015). “Methodology for generation of business intelligence platforms to university evaluation committees”, In: Proceedings of the Annual Conference on Brazilian Symposium on Information Systems: Information Systems: A Computer Socio-Technical Perspective, v. 1, p. 187-194.
Santos, J. S. (2017). “Business Intelligence: Uma proposta metodológica para análise da evasão escolar em instituições federais de ensino”, Dissertação (Mestrado), Universidade Federal do Paraná, Setor de Ciências Sociais Aplicadas, Curitiba.
Scannavino, K. R. F. et al. (2017). “Revisão sistemática da literatura em engenharia de software: Teoria e prática”, Rio de Janeiro: Elsevier.
Sênchez-Ticona, R. J. et al. (2023). “Inteligencia de negocios y la dinamización de la toma de decisiones en la gestión de egresados de una universidad estatal peruana”, Gestión, v. 60, p. 287-294.
Senger, I. and Brito, M. J. (2022). “Management of the academic system information: A descriptive study of the users’ satisfaction”, Revista de Administração Mackenzie, v. 6, p. 12-40.
Sharda, R. et al. (2019). “Business intelligence e análise de dados para gestão de negócios”, 4. ed., Porto Alegre: Bookman.
Somya, R. et al. (2018). “Service-oriented business intelligence (SoBI) for academic and financial data integration in university”, In: International Seminar on Application for Technology of Information and Communication, IEEE, pages 1-5.
Tran, T. and Kuula, M. (2023). “Juggling quality labels with centralised analytics: How the first Nordic triple-crowned business school does it”, Studies in Higher Education, v. 48, n. 6, p. 845-863.
Turban, E. et al. (2009). “Business intelligence: Um enfoque gerencial para a inteligência do negócio”, Porto Alegre: Bookman.
Villegas-Ch, W. et al. (2020). “A business intelligence framework for analyzing educational data”, Sustainability, v. 12, n. 14, p. 5745.
Yashchuk, D. Y. and Golub, B. L. (2019). “Research on the use of OLAP technologies in management tasks”, In: Advances in Computer Science for Engineering and Education, Springer International Publishing, pages 683-691.
Ward, M. O. et al. (2015). “Interactive data visualization: Foundations, techniques, and applications”, 2. ed., Editora Taylor & Francis.
Wohlin, C. et al. (2012). “Experimentation in Software Engineering”, Springer.
Wyne, M. F. et al. (2015). “Business intelligence dashboard for academic program management”, In: 2015 ASEE Annual Conference & Exposition, pages 26.312.126.312.19.
