Predicting the end-of-cycle (EOC) for a heat exchanger due to fouling is a persistent challenge for refineries. By proactively forecasting when a heat exchanger requires cleaning, refineries can implement risk-based maintenance planning, optimizing processing rates, and reducing operating and maintenance costs. Historically, engineers had to manually combine data entries in spreadsheets, spending hours or even days formatting, filtering, and removing non-relevant data, such as entries when equipment was out-of-service. Advanced analytics now streamline this process, enhancing efficiency and accuracy in maintenance planning.