The Power of Business Intelligence on the Decision-Making Process at Linkoping University A Case Study

Abstract: The decision-making process (DMP) is based on two elements: Organizational and technical (Poleto et al., 2015). The organizational element is related to managers’ everyday decisionmaking based on the organization strategy (Poleto et al., 2015). Its aim is to set up specific actions for the planned objectives for the business (Rouse, 2018). The second element is the technical DMP. According to (Poleto et al., 2015), it is related the set of tools that are used as an aid in the DMP, which includes information technology and big data. Business intelligence (BI) is the decisionmaking helping system (Ali et al., 2017). Consequently, BI helps make better decisions, and it has become popular in many organizations. As a result, it is important to show BI’s power over DMPs and to show how the tools used in BI facilitate the DMP. “Higher education institutions worldwide are operating today in a very dynamic and complex environment” (Kabakchieva 2015, p. 104). As a result, universities that are within higher education are threatened because competition is serious (Barrett, 2010). Moreover, higher education is another area that will potentially impact big data research (Ong, 2016). Consequently, the application and use of big data in higher educational institutions may result in better quality education for students and a better experience for the university staff (Ong, 2016). As a result, HEI is adopting new technologies with the aim of sustaining its position on the market. DMPs at higher academic institutions require structured data from a sophisticated system, which can be only done through efficient and effective use of BI tools. This thesis will investigate how the BI system is used at Linkoping University (LIU) and how its benefits have changed DMPs. We studied the BI tool (Qlikview) that has been used at LIU for 10 years. 10 To answer the research question, a theoretical framework was developed that was based on two models: Simon’s (1997) and Huber’s (1980) DMP models. The two models were combined with the BI benefits that were based in El Bashir et al.’s (2008) model. The research is done through a qualitative method of data collection and data analysis. At LIU, seven interviews were conducted with BI users and with strategic decision-makers. The findings show that the BI system, alongside Qlikview, has a positive effect on DMPs at LIU as a public HEI. The factors affected are the information gathering time, the quality of data provided and the accessibility to information by all BI users.