A business intelligence framework for Sultan Qaboos University: A case study in the Middle East
DOI:
https://doi.org/10.37380/jisib.v7i3.278Keywords:
Business intelligence, decision making, key business activity key performance indicator, maturity assessment, performance managementAbstract
Higher education institutions generate big data, yet they are not exploited to obtain usable information. Making sense of data within organizations becomes the key factor for success in maintaining sustainability within the market and gaining competitive advantages. Business intelligence and analytics addresses the challenges of data visibility and data integrity that helps to shift the big data to provide deep insights into such data. This research aims to build a customized business intelligence (BI) framework for Sultan Qaboos University (SQU). The research starts with assessing the BI maturity of the educational institutions prior to implementation followed by developing a BI prototype to test BI capabilities of performance management in SQU. The prototype has been tested for the key business activity (KBA): teaching and learning at one college of the university. The results show that the aggregation of the different KBAs and KPIs will contribute to the overall SQU performance and will provide better visibility of how SQU as an organization is functioning, which is the key towards the successful implementation of BI within SQU in the future.
References
Aziz, M.N and Sarsam, Z. 2013. The impact and power of Business Intelligence (BI) on the Decision making process in Uppsala
University: A case study. M. Sc Thesis, Uppsala University.
Chu, T.-H. 2013. A Framework for BI Systems Implementation in Manufacturing. International Journal of Electronic Business
Management. vol. 11, no. 2, pp. 113-120.
Chuah, M.-H. and Wong, K.-L. 2012. Construct an Enterprise Business Intelligence Maturity Model (EBI2M) Using an Integration Approach: A Conceptual Framework. D.M. Business Intelligence - Solution for Business Development, InTech. DOI: https://doi.org/10.5772/35457
Fouche, G. and Langit, L. 2008. Foundation of SQL Server 2008R2: Business Intelligence. 2nd edition MA USA: Appress
Gartner, I. 2015. Gartner Executive Programs:Insights from the 2015 Gartner CIO Agenda Report, [Online], Available: http://www.gartner.com/technology/home.jsp [12 Feb 2015]. DOI: https://doi.org/10.1038/nmeth.3592
Gudfinnsson, K., Strand, M. and Brendtsson, M. 2015. Analyzing business intelligence maturity., Journal of Decision Systems. vol. 24, no. 1, January, pp. 37-54. DOI: https://doi.org/10.1080/12460125.2015.994287
Guster, D. and Brown, C.G. 2012. The application of business intelligence to higher education: technical and managerial perspectives. Journal of Information Technology Management. vol. XXIII, no. 2, pp. 42-62
Lavalle, S., Hopkins, M.S., Lesser, E., Schokely, R. and Kruschwitz, N. 2010. Analytics: The new path to value. MIT Sloan Management Review.
León-Barranco, A., Saucedo-Lozada, S. N., Avendaño-Jimenez, I. Y., Martínez-Leyva, R.,
Carcaño-Rivera, L. A. 2015. Business Intelligence in Educational Institutions. Research in Computing science. vol. 96, pp. 43-53. DOI: https://doi.org/10.13053/rcs-96-1-4
Muntean, M. and Surcel, T. 2013. Agile BI – The future of BI. Informatica Economica. vol. 17, no. 3, March, pp. 114-124. DOI: https://doi.org/10.12948/issn14531305/17.3.2013.10
Ortega, P.M., Avila, L.G. and Gomez, J.M. 2011. Framework to design a Business Intelligence Solution. ICT Innovations. vol. 83, pp. 348-357. DOI: https://doi.org/10.1007/978-3-642-19325-5_36
Rajterič, I.H. 2010. Overview of Business Intelligence Maturity Models. Management vol. 15, no. 1, pp. 47-67.
Ramanigopal, C.S., Palaniappan, G. and Mani, A. 2012. Business Intelligence for Competence in Consumer Packaged Good Industry. International Journal of Marketing and Technology. vol. 2, no. 5, May, pp. 84-105.
Randy L. S. 2015. Impact of BI on Institutional research. Available: http://www.ellucian.com/White-Papers/Impact-of-Business-Intelligence-on-Institutional-Research/ [20 March 2015].
Sarma, A.D.N. and Prasad, R.S. 2014. Architectural Framework for Operational Business Intelligence System. International Journal of Innovation, Management and Technology. vol. 5, no. 4. DOI: https://doi.org/10.7763/IJIMT.2014.V5.529
Sherman, R. 2014. Business Intelligence Guidebook: From Data Integration to Analytics. 1st edition MA: Morgan Kaufmann
ShaokunFana, Y.K.Laub, R. and LeonZhaob, J. 2015. Demystifying Big Data Analytics for Business Intelligence Through the Lens of Marketing Mix. Science Direct, vol. 2, no. 1: p. 28–32. DOI: https://doi.org/10.1016/j.bdr.2015.02.006
Tapadinhas, J. 2014. How to Architect the BI and Analytics Platform. Gartner Symposium 2014, Barcelona. TDWI, I. 2015. Business Intelligence. [Online], Available: http://tdwi.org/portals/businessintelligence.aspx [20 March 2015].
Washer. 2007. Revisiting Key Skills: A Practical Framework for Higher Education. Quality in Higher Education, vol. 13, no. 1. DOI: https://doi.org/10.1080/13538320701272755
Zilli, D. 2014. Self-service business intelligence for higher education managemen. Int’l Conference on Management, Knowledge and Learning, Slovenia.
Downloads
Published
Issue
Section
License
Copyright (c) 2017 Journal of Intelligence Studies in Business
This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
Authors who publish with this journal agree to the following terms:
- Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution License that allows others to share the work with an acknowledgement of the work's authorship and initial publication in this journal.
- Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgement of its initial publication in this journal.
- Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work (See The Effect of Open Access).