video1.0<iframe src="https://www.loom.com/embed/41fae1d6abed437bb9311088c2a93c6c" frameborder="0" width="1218" height="913" webkitallowfullscreen mozallowfullscreen allowfullscreen></iframe>9131218Loomhttps://www.loom.com9131218https://cdn.loom.com/sessions/thumbnails/41fae1d6abed437bb9311088c2a93c6c-be92607a3ad617c1.gif124.6764In this video, I walk you through a controlled simulation of OBD2 style telemetry, showcasing how signals like RPM and coolant temperature are processed into actionable insights for operational teams. I emphasize the importance of a robust API ingestion layer that validates and timestamps these signals, as weak ingestion leads to unreliable insights. The dashboard I created reflects real-time data that fleet managers and technicians rely on for decision-making regarding asset health and safety. Understanding where validation occurs and how anomalies surface is crucial for improving uptime. I encourage you to focus on these workflows and their impact on operational outcomes.