Martin Falch, an expert in CAN bus data and co-owner of CSS Electronics, has developed a solution to enhance real-time visualization of CAN-to-USB data using Grafana dashboards and the MQTT plugin. This approach addresses the limitations of traditional software tools, which often struggle to provide customizable real-time data visualization. By integrating CSS Electronics' CANedge/CANmod devices with Grafana, users can set up custom dashboards quickly, utilizing the MQTT data source plugin and a Python API for real-time data streaming and decoding. This enables engineers across industries such as automotive and industrial equipment manufacturing to diagnose issues and monitor performance effectively. The setup can be scaled to handle multiple devices and data sources, offering flexibility in data management and remote visualization capabilities over local networks or the internet. Additionally, the solution supports dynamic signal selection via Grafana variables and separate dashboards for specific analyses, enabling efficient data management and real-time alerts for certain events, demonstrating its potential for diverse applications in telematics, predictive maintenance, and more.