Smart factory technologies, when combined with testing and simulation, quality and process control, and autonomous machines/robotics, can help automotive OEMs and suppliers increase efficiency, reduce costs, and create new revenue streams. Real-time streaming analytics enables anomaly detection for predictive quality and maintenance in manufacturing. Yet the actual deployment of smart factory and connected vehicles technologies is often hampered by the overwhelming amount of data that must be processed in real time while remaining available long-term for trend analysis. When real-time and long-term data analysis is extended to include production vehicles, predictive manufacturing quality can be enhanced. Vehicle maintenance and service alerts are also facilitated – improving customer loyalty while opening the door to new revenue streams such as extended warranties.