Apply analytics and visualization to IoT data at the source.
Whether your data is at the edge, in motion or at rest, make fast, confident decisions – while reducing data transport and storage costs. SAS Analytics for IoT covers the full IoT life cycle. From data capture and integration to analytics and deployment.
Focus on what matters.
Our proven event stream processing engine can handle huge volumes of data at very high rates with extremely low latency. This enables real-time data management on IoT data to make it analytics-ready. Intelligent filtering separates what’s relevant from all the noise so you’ll know what data to store and what you can ignore.
Understand the signals in your data.
Get the most out of IoT data by mining and analyzing it where it lives – edge devices, data centers or the cloud. And detect patterns of interest as events occur. With SAS, you can integrate, transform, visualize and analyze IoT data throughout the connected ecosystem. Then close the IoT analytics loop by running big data analytics on data at rest.
Act quickly. Decisively. Confidently.
You can continuously assess streaming data close to its origination, transforming and analyzing it in real time. SAS decision management capabilities then drive real-time action – from simple alerts to complex, automated responses. SAS supports data integration, visualization and analytics at the edge, as well as big data analytics on data at rest in the storage platform of your choice.