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
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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Séminaire web
Demand Planning During Uncertainty: Forecasts, Models & Manufacturing AnalyticsLearn how analytics helps manufacturers generate reliable, demand-driven forecasts and improve recovery efforts.
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White Paper
Understanding Data Streams in IoTThis paper explains how streaming analytics helps you acquire, understand and use real-time, streaming data to make fact-based, automated decisions – and instantaneously react to new information.
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Article
5 ways to measure beehive health with analytics and hive-streaming dataThis analytical approach to understanding bee hive health can automatically alert beekeepers to changes in hive weights, temperatures, flight activity and more.
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Customer Story
IoT data with artificial intelligence reduces downtime, helps truckers keep on truckingVolvo Trucks and Mack Trucks use sensor data and SAS AI solutions to minimize unplanned downtime.
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Article
Making sense of streaming data in the Internet of ThingsThe Internet of Things has changed our lives forever. Read about how streaming data in IoT works, and why it has caused such a shift in the analytics world.
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Séminaire web
Unlock the Power of Industrial IoT With AnalyticsJoin experts from SAS, Siemens and Futurum Research discussing IIoT and analytics fundamentals in the age of Industry 4.0.
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Customer Story
World’s largest sports and humanitarian event builds legacy of inclusion with data-driven technologySpecial Olympics World Games Abu Dhabi uses SAS® Analytics and AI solutions to keep athletes safe and fans engaged.
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Article
IoT securityThe internet of things, with about 6.4 billion external (and vulnerable) devices on networks, calls for a more rigorous approach to cybersecurity.
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Séminaire web
Breaking Away From the Pack With the Artificial Intelligence of ThingsIndustry experts share their insights on a new global study that explores the business impact of combining AI and IoT.
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Séminaire web
IoT Analytics: How to Make Your IoT Data Work for YouJoin Pinnacle Solutions and SAS to learn how you can use IoT analytics to make your IoT data work for you.
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Article
IoT: The next best thing to reading your customer’s mindConstant streams of data from myriad devices and sensors is what IoT is all about. But how are organizations using it to better customer experiences?
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Article
Game-changing technologies turn IIoT data into goldThe real value of IoT lies in its data. Maciej Kranz says technologies like edge and fog computing, machine learning and AI can unlock the hidden value in data from the IIoT.
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Article
Coming soon: The Industrial Internet and IoT standardsFrom smart farms to connected water meters, the IIoT party is happening – with consensus around IoT standards playing host.
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Analyst Report
IoT Solutions World Congress 2019: The Value Is in the DataIOT Solutions World Congress 2019 was a turning point in the evolution of IoT deployments, with organizations like SAS showing real, scalable deployments of IoT solutions combined with AI.
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Customer Story
Artificial intelligence and IoT analytics keep aircraft operational for crucial missionsLockheed Martin revolutionizes aircraft maintenance with the SAS Platform.
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Article
How to drill a better hole with analyticsFrom drilling holes to preventing health care fraud, learn about some of the new technologies SAS has patented with IoT and machine learning technologies.
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Analyst Report
SAS takes Event Stream Processing to Cisco's edge for Internet of Things stackSAS and Cisco work together to enable IOT type analytics from the edge of the network to the data center to the cloud, according to 451 Research.
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Analyst Report
Bloor InBrief: SAS Event Stream ProcessingLearn why Bloor considers SAS a major contender in the market for streaming analytics platforms due to SAS’ differentiating analytic capabilities, notable performance and continuous improvement of in-stream models using machine learning.
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Analyst Report
Bloor Market Update: Streaming AnalyticsLearn why Bloor considers SAS a major contender in the market for streaming analytics platforms due to SAS’ differentiating analytic capabilities, notable performance and continuous improvement of in-stream models using machine learning.
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Analyst Report
SAS Dives Deeper into IoT AnalyticsIDC reviews the the latest release of SAS Analytics for IoT, a simplified offering aimed at helping customers monetize the value of their IoT data.
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Analyst Report
Data Analytics at the Edge -
Article
Edge computingWith traditional methods, data is captured, stored and analyzed later – limiting how quickly businesses can act on insights from the data. With edge computing, IoT data is processed at the edge of a network – right where it’s created or collected – avoiding delays and enabling real-time processing and action.
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Article
Can you make your smart factory smarter?Discover how the IoT helps weave quality across the smart factory to improve source materials, machine functionality and even customer service.
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Article
Modern manufacturing's triple play: Digital twins, analytics, IoTUsing exact duplicates to manage complex systems dates to NASA’s early moon missions. Today, IoT is key to implementing digital twin technology in manufacturing.
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Article
IoT challenges in the connected supply chainThe IoT Is set to revolutionize supply chain management, but there are certain challenges it must overcome first. Here’s what you need to know.
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Article
IT/OT convergence: The dilemma of the IoT perception gapThe IoT phenomenon demands intimate collaboration between information technology (IT) and operational technology (OT). But IT and OT have distinct gaps in perception about the goals and outcomes of IoT initiatives. Tom Bradicich explains why IT/OT convergence is essential for successful IoT projects.
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Article
Connected vehicles: IoT steers a new direction for OEMsWith IoT and analytics, automakers and their partners can reshape business models, find new ways to monetize data and serve customers better.
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Article
The connected consumer: IoT's impact on the future of retailThe IoT and the connected consumer are set to revolutionize retail. Here are a few ways companies can take advantage of technology advancements.
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Article
Machine learning, data science and AI meet IoTIn this video, Kirk Borne and Michele Null discuss the intersection of machine learning, AI and data science with IoT data and analytics.
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Article
IoT in healthcare: Unlocking true, value-based careGiven the potential of IoT – and the challenges of already overburdened healthcare systems around the world – we can’t afford not to integrate IoT in healthcare.
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Article
Three C’s of the connected customer in the IoTTo optimize the connected customer experience, Blue Hill Research says organizations should build an IoT model based on three key features.
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White Paper
IoT success depends on data governance, security and privacyThe IoT puts intense demands on the data management life cycle. Learn from 10 common mistakes organizations have made with IoT endeavors.
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Article
IoT: The customer experience accelerator you can't afford to ignoreIoT represents a powerful source of data that, when combined with analytics, can yield insights on everything from behavior to emotions to health. And that's why it's key to improving customer experience.
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Article
5 Challenges for IoT in the insurance industryIoT promises to substantially reduce losses in the insurance industry, but adoption is low. That will change when the industry overcomes these five challenges.
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Article
5 IoT applications retailers are using today The Internet of Things can bring big benefits, but what is IoT and how are retailers taking advantage of it?
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Customer Story
Municipality puts wireless water meter-reading data to workTown of Cary, North Carolina uses SAS Analytics to analyze data from wireless water meters, assess demand, detect problems and engage customers.
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Customer Story
L'intelligence artificielle de SAS permet d'améliorer la satisfaction clientLes modèles de machine learning pilotés par la plate-forme SAS aident Konica Minolta Japan à réduire ses coûts et à gagner en compétitivité.
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