Predicting the Impact of Data Visualization on Decision-Making in Higher Education

Data visualization plays a crucial role in comprehending and leveraging interactive and complex data by presenting information in graphical or pictorial form. As the vast and open data field continues to evolve with technological advancements, it necessitates diverse levels of interaction for a comprehensive understanding. This paper focuses on the practical application of data visualization techniques and machine learning algorithms. Through a case study that compares various algorithms., we analyze information and forecast the influence of data visualization on decision-making. Presenting substantial evidence, our findings strongly support the impact of data visualization on decision-making. Moreover, we investigate how data visualization technology influences decision-making among administrative staff, academic staff, and students. Additionally, we thoroughly assess the implications of data visualization on decision-making within higher education institutions, highlighting its remarkable capacity to empower stakeholders to make faster and more informed decisions.