A business intelligence framework for Sultan Qaboos University: A case study in the Middle East

Saud Sultan Al Rashdi, Smitha Sunil Kumaran Nair


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.


Business intelligence, decision making, key business activity key performance indicator, maturity assessment, performance management

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