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Every business, including the universities, relies on effective and efficient systems that would enable them to achieve their goals and objectives. However, many businesses mainly aimed at sales and marketing while some failed to optimize their operations. Fortunately, BI devices are shaping the ways and manners organizations are managing their data and universities are not exception in this regard. Besides, it has been observed that the business intelligence outcomes affect the long-term direction of business organizations as a result of trends in problems associated with data usage and technological limitations. For example, previous data by Gartner (Van der Meulen & Rivera, 2014) revealed that BI is growing faster than technologies in the general software markets. Its growth is close to 7% per annum and it is believed to hit over $17 billion by 2016. Accordingly, UK JISC between 2011 and 2012, a recognize NGO that involves in digital technologies in UK education and research, was able to start BI programmed as aspect of its JISC strategy 2010-2012 aimed at assisting schools build and use their corporate and business systems efficiently and effectively (Ong, 2016). It also observed that with business intelligence universities would equally make a GDP that would equate per unit of expenditure particularly when compared with other sectors. As important as business intelligence, it is perceived that business intelligence applications are becoming complex, however, business intelligence programs are becoming more user-friendly to the users such as the academic institutions, entrepreneurs and small business owners. The importance of business intelligence to universities is huge. For example, it plays a very significant role in promoting cost efficiency, optimize inventory levels, reduce waste and improve business processes in the universities (Van der Meulen & Rivera, 2014). Also, the application of BI in businesses has a very enormous effect which is not only visible in enterprise organizations that have clear intentions on Return on Investment (ROI) (Anjariny & Zeki, 2014; Williams & Williams, 2003), but also to the educational institutions as well. The Higher Education Institution (HEI) sees the aptitudes of BI as able to assist the management of tertiary institutions in their business process in decision making (Kokin & Wang, 2014).