University Student Dashboard: Enhancing Student Trend Analysis and Decision-Making Processes

In today’s data-driven era, organizations are constantly seeking ways to improve their decision-making processes, and dashboards have emerged as an effective solution for this purpose. Dashboards provide a real-time visual representation of an organization’s critical data, metrics, and performance indicators, allowing decision-makers to quickly comprehend key insights and make informed decisions. Universities are increasingly adopting dashboards to facilitate data-driven decision-making, allowing administrators to identify areas of strength and weakness in various academic and administrative functions. The objective of this study is to propose a holistic dashboard model for universities that includes critical aspects of student data on campus implemented in a higher education institution in Malaysia. The model will provide extensive student data segments that can be monitored and supported regularly, providing the top management with a broader perspective on the student’s condition on campus. To assess the efficacy of the proposed dashboard model, the Datus model, a comprehensive framework that aids organizations in designing and implementing efficient dashboards in terms of accessibility, appropriate recognizability, effectiveness, efficiency, learnability, operability, satisfaction, and user interface aesthetic, will be utilized. The results indicate that the user interface design received a favorable response, while the usability evaluation revealed that operability, appropriate recognizability, and accessibility were areas that require improvement.