Manufacturing and Industrial



The modern assembly line is made up of highly instrumented machines, with millions of sensors reporting billions of data points. Extracting insights from this deluge of data allows manufacturers to understand interdependencies and relationships, improve manufacturing efficiencies, and reduce equipment downtime—resulting in smoother operations and greater product yield.

Common Use Cases

Supply Chain Management

Improve supply chain operations by tracking and making decisions based on inventory, consumption rates, etc.

Equipment Failure Mitigation

Predict equipment maintenance issues before they result in manufacturing stoppages by analyzing machine data, maintenance schedules, and other historical data.

Yield Optimization

Analyze raw operational data to improve production efficiencies, increasing First Time Yield (number of products made correctly the first time).