Siemens employs IoT sensor data and Grafana to enhance train maintenance and operations, as described by Martin Klimmek and Haluk Tutuk during their GrafanaCONline 2021 talk. With a team of data scientists, engineers, and a network of over 3,000 suppliers, Siemens prioritizes observability to better understand and control assets. Grafana enables real-time data generation from trains, optimizing maintenance and supporting complex tasks like HVAC system management and passenger capacity counting, which proved valuable during the pandemic for social distancing. Siemens pushes technical and collaborative boundaries to create a platform that facilitates expertise sharing, experimentation, and rapid feature development. The approach integrates millions of data points from 500 UK trains daily, promoting a passenger-centric operation and fostering a collaborative environment that enhances observability and predictive capabilities.