The principles of Industrial DataOps–automation, focus on quality, real-time analytics, transparency, and collaboration–combined with the optimized approach to machine monitoring, help in the seamless integration of data from various sources (sensors, log files, production data, telemetry) to empower companies to improve their manufacturing processes.