"Improving Project Control by Utilizing Predictive Data Analytic Models" by Kamal Jaafar, Ahmad Aloran et al.
Project progress is an apprehension for every project, as it indicates how the project is likely to meet the associated milestones. Utilizing collected data from archived projects can assist managers to envisage project progress. By leveraging the power of data analytics, this research attempts to highlight data trends based on data collected from 279 infrastructure projects in the UAE. Specifically, this research rigorously analyses the relationships between project budget, duration, and progress using K-means clustering techniques and hypothesis testing. We then provide predictive models usi...