Is your work order data holding you back from maximizing the potential of predictive maintenance? Without accurate and structured data, predicting equipment failures becomes a challenge, leading to costly downtimes and inefficiencies. This document highlights how Work Order Data plays a crucial role in Predictive Maintenance by: ⦁ Uncovering patterns to detect issues before they cause failures. ⦁ Enhancing decision-making with reliable and consistent data. ⦁ Providing historical insights to forecast future maintenance needs. Cryotos transforms your work order data into actionable insights, using real-time IoT integration and advanced analytics to predict failures and optimize asset performance.