A powerful IoT analytics solution with embedded AI and industry-leading streaming capabilities.
Sensor-based data model
Organizes and stores large volumes of complex 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. Lets you integrate additional field and production quality data with your sensor 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.
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.
Drive innovation, efficiencies and results by putting IoT analytics in users' hands.
Fuel performance with a powerful, AI-embedded IoT analytics solution.
Extract maximum value from your IoT investments with a complete, AI-embedded IoT analytics solution that meets the challenges of complexity and scale. Regardless of skill level, users can easily access, organize, select and transform IoT data – without having to rely on scarce data scientist resources. Built on SAS® Viya®, the solution's integrated, business-focused interface lets you visually explore external data sources and big data stores like Hadoop with ease. You can quickly select data and launch it into dashboards, reports and analytic tools to make confident, accurate and timely decisions that drive innovation and performance.
Get speed and scalability where and when needed.
Accelerate outcomes from your IoT investments – SAS, third party and open source. Our secure, flexible and scalable IoT analytics solution uses SAS Event Stream Processing with embedded AI to deliver real-time analytics, empowering all types of users to make fast, confident decisions – no coding or specialized skills required. We develop and continuously improve the latest analytic techniques to find those best suited for high-frequency, streaming data. And you can use our industry-leading data management capabilities to make IoT data – generated anywhere – analytics-ready.
Expand the use of IoT analytics and foster collaboration.
SAS Analytics for IoT enables all types of users to transform data into intelligence with an extensible, sensor-based data model and an intuitive, visual interface built on SAS Viya that streamlines ETL tasks. Your entire organization – business users, engineers, data scientists and IT professionals – will collaborate more effectively and be equipped to make timely, confident decisions that propel your business forward.
Get to Know SAS® Analytics for IoT
This solution runs on SAS® Viya®, which has the breadth and depth to conquer any analytics challenge, from experimental to mission critical. SAS Viya extends the SAS Platform to enable everyone – data scientists, business analysts, developers and executives alike – to collaborate and realize innovative results faster, with flexible licensing and pricing options to accommodate your current and future needs.
Look Who's Working Smarter With SAS®
"We felt strongly that the existing system wasn’t serving citizens in flood-prone areas well. We knew we needed a scalable solution to get us from reactive to proactive and ultimately predictive. The scalability of Azure IoT platform became a critical component of our IoT architecture. In addition, we required a robust set of analytical tools that could deliver insight from both real-time and historical data and SAS Analytics for IoT offered that."Nicole Raimundo Chief Information Officer Town of Cary, NC
SAS was named a winner of the 2019 IoT Evolution Product of the Year Award by IoT Evolution World.
SAS received the 2019 Datanami Readers' Choice Award for Best Big Data Product or Technology for IoT.
Explore More on SAS® Analytics for IoT & Beyond
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