Publicação
Roadmap for implementing business intelligence systems in higher education institutions: validation of a case study at the university of Trás-os-Montes and Alto Douro
| datacite.subject.fos | Engenharia e Tecnologia::Engenharia Eletrotécnica, Eletrónica e Informática | |
| datacite.subject.fos | Ciências Sociais::Economia e Gestão | |
| datacite.subject.sdg | 04:Educação de Qualidade | |
| datacite.subject.sdg | 09:Indústria, Inovação e Infraestruturas | |
| dc.contributor.author | Sequeira, Romeu | |
| dc.contributor.author | Reis, Arsénio | |
| dc.contributor.author | Branco, Frederico | |
| dc.contributor.author | Alves, Paulo | |
| dc.date.accessioned | 2026-03-18T14:18:42Z | |
| dc.date.available | 2026-03-18T14:18:42Z | |
| dc.date.issued | 2024 | |
| dc.description.abstract | The adoption of effective policies and access to relevant information are critical to improving strategic management and performance monitoring in Higher Education Institutions (HEIs), which is essential to promote data-driven decision-making. This article describes how an HEI can carry out the validation process when implementing a Business Intelligence (BI) system, and provides a detailed guide to doing so. Through a case study at the University of Trás-os-Montes and Alto Douro, a structured roadmap is validated, which acts as a visual and sequential guide to facilitate the effective implementation of BI solutions. The validation carried out through semi-structured interviews with experts and evaluation of dashboards by user groups, not only confirms the applicability and efficiency of the proposed model but also emphasises its practical relevance, providing valuable insights for the adaptation and use of BI in different educational contexts. | eng |
| dc.description.sponsorship | This work is financed by National Funds through the Portuguese funding agency, FCT - Fundação para a Ciência e a Tecnologia, within project LA/P/0063/2020. The authors acknowledge the work facilities and equipment provided by CeDRI (UIDB/05757/2020 and UIDP/05757/2020) to the project team | |
| dc.identifier.citation | Sequeira, Romeu; Reis, Arsénio; Branco, Frederico; Alves, Paulo (2024). Roadmap for implementing business intelligence systems in higher education institutions: validation of a case study at the university of Trás-os-Montes and Alto Douro. In 21st International Conference on Smart Business Technologies, ICSBT 2024. 1, p. 44-55. ISBN 978-989-758-710-8. DOI: 10.5220/0012834900003764 | |
| dc.identifier.doi | 10.5220/0012834900003764 | |
| dc.identifier.isbn | 978-989-758-710-8 | |
| dc.identifier.issn | 2184-772X | |
| dc.identifier.uri | http://hdl.handle.net/10198/36128 | |
| dc.language.iso | eng | |
| dc.peerreviewed | yes | |
| dc.publisher | SCITEPRESS - Science and Technology Publications | |
| dc.relation | INESC TEC - Institute for Systems and Computer Engineering, Technology and Science (INESC TEC) | |
| dc.relation | Research Centre in Digitalization and Intelligent Robotics | |
| dc.relation | Research Centre in Digitalization and Intelligent Robotics | |
| dc.relation.ispartof | Proceedings of the 21st International Conference on Smart Business Technologies | |
| dc.rights.uri | http://creativecommons.org/licenses/by-nd/4.0/ | |
| dc.subject | Business intelligence | |
| dc.subject | Dashboards | |
| dc.subject | Decision-Making | |
| dc.subject | Higher education | |
| dc.subject | System validation | |
| dc.title | Roadmap for implementing business intelligence systems in higher education institutions: validation of a case study at the university of Trás-os-Montes and Alto Douro | eng |
| dc.type | conference paper | |
| dspace.entity.type | Publication | |
| oaire.awardNumber | LA/P/0063/2020 | |
| oaire.awardNumber | UIDB/05757/2020 | |
| oaire.awardNumber | UIDP/05757/2020 | |
| oaire.awardTitle | INESC TEC - Institute for Systems and Computer Engineering, Technology and Science (INESC TEC) | |
| oaire.awardTitle | Research Centre in Digitalization and Intelligent Robotics | |
| oaire.awardTitle | Research Centre in Digitalization and Intelligent Robotics | |
| oaire.awardURI | info:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/LA%2FP%2F0063%2F2020/PT | |
| oaire.awardURI | info:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UIDB%2F05757%2F2020/PT | |
| oaire.awardURI | info:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UIDP%2F05757%2F2020/PT | |
| oaire.citation.endPage | 55 | |
| oaire.citation.startPage | 44 | |
| oaire.citation.title | 21st International Conference on Smart Business Technologies, ICSBT 2024 | |
| oaire.citation.volume | 1 | |
| oaire.fundingStream | 6817 - DCRRNI ID | |
| oaire.fundingStream | 6817 - DCRRNI ID | |
| oaire.fundingStream | 6817 - DCRRNI ID | |
| oaire.version | http://purl.org/coar/version/c_970fb48d4fbd8a85 | |
| person.familyName | Alves | |
| person.givenName | Paulo | |
| person.identifier.ciencia-id | C319-FC42-5B6B | |
| person.identifier.orcid | 0000-0002-0100-8691 | |
| person.identifier.scopus-author-id | 55834442100 | |
| project.funder.identifier | http://doi.org/10.13039/501100001871 | |
| project.funder.identifier | http://doi.org/10.13039/501100001871 | |
| project.funder.identifier | http://doi.org/10.13039/501100001871 | |
| project.funder.name | Fundação para a Ciência e a Tecnologia | |
| project.funder.name | Fundação para a Ciência e a Tecnologia | |
| project.funder.name | Fundação para a Ciência e a Tecnologia | |
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