A Systematic Literature Review of Business Intelligence Technology, Contribution and Application for Higher Education

Education is one of important program that has always been the goal of the country's strategy to advance the society. Technology is one of various aspect that support the education sector to improve its quality, such as business intelligence. Business intelligence is a technology that is developing today and can help in the decision-making process form large number of data or known as big data analytics. This study identifies the application of business intelligence to the education sector, especially in terms of the technology, contribution, and application using PRISMA. Technology of business intelligence application (Q1) is categorized into two, that are techniques and tools. For the first category, there are four kind of techniques. The techniques are data mining, viable system model (VSM), learning analytics, cloud computing, and behavioural analytics. For the other category, there are several tools that used to apply the business intelligence. The tools are Hadoop, Gephi, BigData by IBM, and web-based. Contributions of business intelligence application (Q2) are knowledge transfer, innovation, and evaluation. Domain application of business intelligence (Q3) are the result of the general form of applying business intelligence to various fields such as research, curriculum, assessment, behaviour analysis, student enrolment, and resource management.