SAS^® ANALYTICS FOR IOT

Sensor-based data model

Integrates large volumes of real-time and historical IoT data, hierarchies and other relationships for efficient analysis. Provides a single version of the data for users across the organization. 

Unified, business-focused data selection & launchers

Provides an intuitive interface that lets nontechnical users quickly prepare, organize, select and launch data without having to know the underlying technology and data structure.  

Out-of-the-box, extensible ETL

Automatically transforms and loads key data fields into the data model in real time or batch. Lets you integrate additional field and production quality data with your sensor data.

Data profiles & explorations

Summarizes huge volumes of high-frequency data to understand where data is being collected and what's available for analysis. Reduces millions of sensor and event records to a manageable size, and visualizes them while maintaining relationships and patterns in the data.

Open APIs

Surfaces data selections and launchers in SAS or third-party applications and lets you access SAS capabilities from your preferred coding environment – SAS, Python, R, Java, Lua or Scala.  

Advanced analytics & embedded AI

Combines data exploration, feature engineering and modern statistical, data mining, machine learning and AI techniques in a single, scalable in-memory distributed processing environment.

Event stream processing

Analyzes and filters streaming data by processing huge volumes at very high rates with extremely low latency so you can understand events while they're happening and decide which data to keep for future analysis.

Support for the IoT analytics life cycle

Supports analytics throughout your IoT infrastructure – from the central hub, data center or cloud all the way to the edge, and at any point in between. Simplifies data complexity across the analytics life cycle, from data, to discovery, to deployment.