THE IMPACT OF BUSINESS INTELLIGENCE SYSTEMS ON PROJECT MANAGEMENT IN HIGHER EDUCATION: AN EMPIRICAL STUDY
Abstract
The successful completion of projects depends on effective project management, particularly in the complex and dynamic environment of higher education institutions. Business intelligence (BI) tools can assist identify problems and hazards, facilitate decision-making, and offer insightful information on how projects are performing. The purpose of this study is to examine how BI systems are used for project management in higher education institutions and to suggest a successful project management strategy that incorporates BI systems. To determine the present state-of-the-art in project management and BI systems in higher education, the research technique includes a rigorous literature review of academic and industry sources. An analysis of a case study from a university that has used a BI system for project management is also included in the Study. The study's conclusions imply that BI systems can enhance project management at higher education institutions by supplying precise real-time data on project performance, risks, and problems. By facilitating better decision-making, early issue detection, and prompt problem resolution, the deployment of a BI system has improved project management, according to the case study analysis. The study suggests a successful project management strategy that incorporates BI systems in higher education institutions based on the findings. The following steps make up the suggested strategy: Project objectives and scope definition, project planning, BI system implementation, BI system performance monitoring, project issue and risk identification and mitigation, and continuous improvement are the steps in a project. The suggested framework can assist institutes of higher learning in managing projects successfully by making use of BI tools. The paper also outlines the critical success criteria for BI system deployment in project management in higher education institutions, such as top management support, transparent communication, user training, and efficient data governance.
Keywords
Project management Business intelligence Higher education Project performance Decision-making
References
- Al Yousufi, A., Naidu, V. R., Jesrani, K., & Dattana, V. (2023). Tracking Students’ Progress using Big Data Analytics to enhance student’s Employability: A Review. SHS Web of Conferences (Vol. 156, p. 07001). EDP Sciences.
- Al-Araibi, S. N., & Tarhini, A. (2018). Factors affecting the adoption of e-learning systems in Qatar and USA: Extending the unified theory of acceptance and use of technology 2 (UTAUT2). Education and Information Technologies, 23(6), 2733-2759.
- Agarwal, A., Naidu, V. R., & Al Mamari, R. (2019). A Framework To Enhance Learning Experience in Flipped Classroom Based on Student Accountability Towards Active Participation. EDULEARN19 Proceedings, 1(July), 1569–1577. https://doi.org/10.21125/edulearn.2019.0464
- Agarwal, A., Saqib, M., Hasan, R., Srinivas, S., Rao Naidu, V., & Jesrani, K. (2021). Educational Association Mining on the Use of Media Platforms for e-Learning. 2021 2nd International Conference on Computation, Automation and Knowledge Management (ICCAKM). https://doi.org/10.1109/ICCAKM50778.2021.9357727
- Al Mahdi, Z., Rao Naidu, V., & Kurian, P. (2019). Analyzing the Role of Human Computer Interaction Principles for E-Learning Solution Design (pp. 41–44). Springer, Cham. https://doi.org/10.1007/978-3- 030-01659-3_6
- Borrego, Á., Arrieta-Salinas, I., & Arquero, J. L. (2017). The role of business intelligence in project management. Procedia Computer Science, 121, 649-657.
- Chen, N., Niu, J., Shao, B., & Yu, H. (2012). Research on business intelligence system based on data mining. 2012 8th International Conference on Wireless Communications, Networking and Mobile Computing (pp. 1-4). IEEE.
- Garrison, D. R., & Kanuka, H. (2004). Blended learning: Uncovering its transformative potential in higher education. The Internet and Higher Education, 7(2), 95-105.
- Kardos, M., Kavecky, M., & Korakova, D. (2021). Data visualization in business intelligence. Procedia Computer Science, 182, 1080-1087.
- Kehoe, D. F., & Pitrelli, N. (2019). Project management business intelligence (PMBI): A new framework for integrated project reporting and analytics. Procedia Computer Science, 164, 419-428.
- Lee, D. M. S., Ahn, S. H., Yoo, H. S., & Woo, Y. S. (2019). The effect of business intelligence on supply chain integration: An empirical analysis of Korean manufacturers. Sustainability, 11(4), 1073.
- Moilanen, P., Salo, M., & Äyväri, A. (2018). Business intelligence system in project-based company. Procedia Manufacturing, 21, 372-379.
- Popovič, A., Hackney, R., Tassabehji, R., Castelli, M., & Mayr, H. C. (2012). Data visualization for business intelligence: State-of-the-art and research directions. Proceedings of the International Conference on Information Systems (pp. 1-16).
- Verma, R., & Patel, M. (2016). Business intelligence system: A managerial perspective. Journal of Industrial Engineering and Management, 9(5), 1311-1337.
- Yoon, J., Chung, S., & Choi, S. (2015). Building the business intelligence system for ERP data using big data technology. The Journal of Supercomputing, 71(5), 1928-1941.
- Zeng, Z., Zhou, Z., Li, Y., & Wang, Y. (2016). Integrating big data into business intelligence architectures. 2016 IEEE International Conference on Big Data (pp. 1428-1433). IEEE.
Abstract
References
- Al Yousufi, A., Naidu, V. R., Jesrani, K., & Dattana, V. (2023). Tracking Students’ Progress using Big Data Analytics to enhance student’s Employability: A Review. SHS Web of Conferences (Vol. 156, p. 07001). EDP Sciences.
- Al-Araibi, S. N., & Tarhini, A. (2018). Factors affecting the adoption of e-learning systems in Qatar and USA: Extending the unified theory of acceptance and use of technology 2 (UTAUT2). Education and Information Technologies, 23(6), 2733-2759.
- Agarwal, A., Naidu, V. R., & Al Mamari, R. (2019). A Framework To Enhance Learning Experience in Flipped Classroom Based on Student Accountability Towards Active Participation. EDULEARN19 Proceedings, 1(July), 1569–1577. https://doi.org/10.21125/edulearn.2019.0464
- Agarwal, A., Saqib, M., Hasan, R., Srinivas, S., Rao Naidu, V., & Jesrani, K. (2021). Educational Association Mining on the Use of Media Platforms for e-Learning. 2021 2nd International Conference on Computation, Automation and Knowledge Management (ICCAKM). https://doi.org/10.1109/ICCAKM50778.2021.9357727
- Al Mahdi, Z., Rao Naidu, V., & Kurian, P. (2019). Analyzing the Role of Human Computer Interaction Principles for E-Learning Solution Design (pp. 41–44). Springer, Cham. https://doi.org/10.1007/978-3- 030-01659-3_6
- Borrego, Á., Arrieta-Salinas, I., & Arquero, J. L. (2017). The role of business intelligence in project management. Procedia Computer Science, 121, 649-657.
- Chen, N., Niu, J., Shao, B., & Yu, H. (2012). Research on business intelligence system based on data mining. 2012 8th International Conference on Wireless Communications, Networking and Mobile Computing (pp. 1-4). IEEE.
- Garrison, D. R., & Kanuka, H. (2004). Blended learning: Uncovering its transformative potential in higher education. The Internet and Higher Education, 7(2), 95-105.
- Kardos, M., Kavecky, M., & Korakova, D. (2021). Data visualization in business intelligence. Procedia Computer Science, 182, 1080-1087.
- Kehoe, D. F., & Pitrelli, N. (2019). Project management business intelligence (PMBI): A new framework for integrated project reporting and analytics. Procedia Computer Science, 164, 419-428.
- Lee, D. M. S., Ahn, S. H., Yoo, H. S., & Woo, Y. S. (2019). The effect of business intelligence on supply chain integration: An empirical analysis of Korean manufacturers. Sustainability, 11(4), 1073.
- Moilanen, P., Salo, M., & Äyväri, A. (2018). Business intelligence system in project-based company. Procedia Manufacturing, 21, 372-379.
- Popovič, A., Hackney, R., Tassabehji, R., Castelli, M., & Mayr, H. C. (2012). Data visualization for business intelligence: State-of-the-art and research directions. Proceedings of the International Conference on Information Systems (pp. 1-16).
- Verma, R., & Patel, M. (2016). Business intelligence system: A managerial perspective. Journal of Industrial Engineering and Management, 9(5), 1311-1337.
- Yoon, J., Chung, S., & Choi, S. (2015). Building the business intelligence system for ERP data using big data technology. The Journal of Supercomputing, 71(5), 1928-1941.
- Zeng, Z., Zhou, Z., Li, Y., & Wang, Y. (2016). Integrating big data into business intelligence architectures. 2016 IEEE International Conference on Big Data (pp. 1428-1433). IEEE.
Details
| Primary Language | English |
|---|---|
| Journal Section | Articles |
| Authors | |
| Early Pub Date | September 7, 2023 |
| Publication Date | September 7, 2023 |
| Submission Date | July 18, 2023 |
| Published in Issue | Year 2023Volume: 9 Issue: 26 - Issue 26, August 2023 |
Published and Sponsored by OCERINT International © 2015 - 2023
Contact: ijaedujournal@hotmail.com
International E-Journal of Advances in Education by IJAEDU is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License. Permissions beyond the scope of this license may be available at http://ijaedu.ocerintjournals.org