This fact sheet explains how SAS Analytics for IoT enables organizations to extract value from high-volume, high-velocity sensor and machine data. The solution supports data ingestion, edge analytics, streaming analytics, machine learning, and advanced modeling to monitor assets, detect anomalies, and predict failures in real time. It highlights use cases such as predictive maintenance, asset optimization, energy management, and operational intelligence across manufacturing, utilities, transportation, and smart infrastructure. By combining streaming analytics with historical data analysis, SAS helps organizations reduce downtime, optimize operations, and improve decision-making while scaling IoT initiatives securely across distributed environments.

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