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.
A powerful IoT analytics solution with embedded AI and industry-leading streaming capabilities.
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.
Explore More on SAS® Analytics for IoT & Beyond
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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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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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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
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 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
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
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
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
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
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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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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White Paper
Data Analytics at the Edge451 Research explores the value of diverse IoT data that is processed and analyzed at the edge in environments like T&D facilities, oil fields and manufacturing shop floors.
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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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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
SAS is a Leader in The Forrester Wave™: Streaming Analytics, Q3 2017Streaming analytics are critical to building contextual insights for IoT, mobile, web and enterprise applications. Read the report to learn more.
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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
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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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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Analyst Report
Top Strategic IoT Trends and Technologies Through 2023In this report, Gartner examines 10 longer-term IoT technologies and trends that will be important in the 2018 through 2023 time frame.
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Analyst Report
How Data Science Teams Leverage Machine Learning and Other Advanced AnalyticsGartner's 2017 customer reference survey for data science and machine learning platforms reveals how many organizations are undertaking data science initiatives.
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Analyst Report
Hype Cycle for Data Science and Machine Learning, 2018Data and analytics leaders should use this Hype Cycle to understand technologies generating excitement and inflated expectations, as well as significant movements in adoption and maturity.
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E-Book
5 Steps to Accelerate Value From Your Industrial IoT Data The Industrial Internet of Things (IIoT) is flooding today’s industrial sector with massive volumes and varieties of IoT sensor data – from production line equipment to products used in the market, sales data and more. To succeed in this environment, industrial leaders need an edge-to-enterprise IoT analytics
platform and a strategy that generates intelligence in lockstep with business needs. -
White Paper
The Autonomous Grid: Machine Learning and IoT for UtilitiesMachine learning and the IoT have the power to create an increasingly autonomous grid that can eventually handle billions of endpoints on utility networks. But is the industry truly maximizing the benefits of either technology? Find out in this report.
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White Paper
The Autonomous Grid in the Age of the Artificial Intelligence of ThingsExplore how AI and IoT work together to deliver everything from improved threat detection to better customer engagement for utilities.
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White Paper
TDWI Checklist Report | Six Best Practices to Ignite the Customer Experience with IoTThe IoT extends digital customer experience to physical customer experience and customer journeys for ultimate brand distinction. This TDWI Checklist Report, sponsored by SAS, outlines six best practices for data professionals and practitioners when using IoT to improve customer experience.
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White Paper
The Artificial Intelligence of Things We’re living in a world that has more connected devices than humans. See how AI amplifies the value and potential of this fast-growing Internet of Things.
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White Paper
Capitalizing on Sensor Data OpportunitiesFind out who is using embedded sensors and how they are using them. This report explores how sensors can make manufacturers more competitive and provides guidance on using sensor-generated data as a flowing stream of opportunity rather than an unexpected flood that disrupts and distracts.
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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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Analyst Report
Bloor InBrief: SAS Event Stream Processing Bloor InBrief: SAS Event Stream Processing
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White Paper
Drive Next-Generation Performance With Real-Time Connected Manufacturing This special report sponsored by SAS, Intel and Hortonworks explores how manufacturers are capitalizing on the promise of the IoT, creating new value streams and revolutionizing the relationship with markets.
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White Paper
Smart Communities & Data AnalyticsThis SAS-sponsored report explores how local governments can use existing staff, technology, data and resources to achieve compelling results, including cost savings, enhanced community relations, economic development, interdepartmental collaboration, and public safety and health improvements.
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White Paper
The Evolution of AnalyticsLearn about modern applications for machine learning, including recommendation systems, streaming analytics, deep learning and cognitive computing. And learn from the experiences of two companies that have successfully navigated organizational and technological challenges to adopt machine learning and embark on their own analytics evolution.
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E-Book
Making Sense of AIThis e-book explores the current boundaries of AI, as well as the many ways that modern AI applications can improve our understanding of the world and enable us to make better, faster decisions.
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White Paper
How Streaming Data Analytics Enables Real-Time DecisionsLearn how SAS provides extremely high-throughput, low-latency technology to meet whatever streaming analytics your company might want to pursue.
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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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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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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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White Paper
Powering Big Data Benefits With Internet of Things IntelligenceA recent MPI study revealed that manufacturers must close strategic and technical gaps preventing them from fully capitalizing on IoT intelligence in order to capture competitive advantage and ensure they don't fall behind permanently.
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E-Book
Analytics Really Do MatterThe heart of a digital enterprise is data and using it to improve enterprisewide performance. LNS Research developed this biannual report to explore the results of the 2018 Analytics That Matter survey and the unexpected (and interesting) responses.
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White Paper
Analytics Accelerates Monetization Opportunities for Connected Vehicle and Mobility ServicesLearn how automakers and their partners are using IoT data and analytics to help them reshape business models, seize new sources of revenue and develop inventive ways to better serve customers.
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White Paper
IoT and Transportation: How Analytics Makes Travel Faster and SaferDiscover how new sources of data provide an opportunity to improve the efficiency of transportation systems while providing new services and optimizing transportation investments.
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White Paper
Asset Performance Analytics Learn more about the benefits and opportunities for performance improvement among utilities, oil and gas producers and manufacturers, as well as some of the challenges associated with implementation.
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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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White Paper
IoT in Retail: Engaging the Connected Customer How do you make your brick-and-mortar stores as smart as your website so when customers walk in the door, you recognize them and cater to their individual tastes? Learn the key to making in-store shopping as frictionless for your customer as online shopping.
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E-Book
Four Use Cases Show Real-World Impact of IoT This TDWI e-book explores in detail what IoT means and does for retailers, the automotive industry, state and local governments working with utilities firms, and the manufacturing industry. Common themes include connectedness, data-driven insights, predictive capabilities and transformation.
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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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White Paper
Analytics and the Modern Energy SupplierFind out why the modern energy supplier must consider how to incorporate IoT and AI in their business operations to improve data-driven decisions and achieve greater return on asset investments.
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White Paper
The Internet of ThingsThis report from the International Institute for Analytics explores the many business opportunities IoT presents, details its implementation challenges and describes how organizations can accelerate progress so they don’t fall behind.
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White Paper
The Internet of Things: Marketing’s Opportunities and Challenges Learn how marketers can apply event-based marketing and real-time marketing capabilities to capitalize on IoT data in the moment by pinpointing significant customer events, which then trigger real-time customer decisions. The result? Best offers delivered in real time, given the consumer’s current context.
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White Paper
The Key Factors Driving IoT SuccessWith the support of SAS, the Internet of Things Institute developed the Internet of Things ROI Research Study to gather real-world insights, lessons learned and future guidance from current users of IoT technology and advanced analytics.
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White Paper
Charging Ahead with EV AnalyticsThis white paper from Navigant Research, sponsored by SAS and Intel, explores the analytics infrastructure that is needed to prepare for and benefit from the growth of EVs
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E-Book
Quality 4.0 Impact and Strategy Handbook Quality 4.0 isn't really a story about technology. It's about how that technology improves culture, collaboration, competency and leadership.
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White Paper
How Hadoop Helps Realize Big Data ValueLeveraging a big-picture approach to Hadoop opens up a world of
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White Paper
The Connected Customer: The Why Behind the Internet of ThingsBlue Hill explores the key traits associated with supporting the connected customer through the internet of things, and provides guidance on why the internet of things will be essential across the general business landscape.
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White Paper
Drive Next-Generation Customer Experiences with Real-Time Connected Product and Service Analytics SAS, Hortonworks and Intel can help you embrace technologies and processes to anticipate a wide range of customer needs, providing the foundation for next-generation customer experiences.
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White Paper
Bridging The IoT Perception Gap: Information vs Operational TechnologyFuturum Research surveyed the state of the relationship between IT and OT teams as it pertains to the design, implementation, and creation of value through IoT technologies.
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White Paper
Modern manufacturing’s triple play: Digital twins, analytics and the Internet of ThingsTechnologies to recreate a digital version of some of the world’s most complex machines are a new source of opportunity for analytics and the Internet of Things. From use by NASA to manufacturers worldwide, equipment can be monitored from anywhere in the world and beyond.
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White Paper
Edge Computing Index: From Edge to EnterpriseThe Futurum Research survey was conducted to identify attitudes toward edge computing, adoption and deployment data. It also investigated investment intent and trends or points of friction related to this topic. All respondents in the survey were in roles of influence for edge computing investment decisions.
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White Paper - Partner
Intelligent Analytics for Smart Machines Learn how you can make the flood of IIoT data work for you with an end-to-end analytics platform that combines SAS expertise in analytics with Intel’s leading data center technology.
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White Paper
IoT Analytics in Practicethis paper will help business decision makers make informed investment decisions about the future of their own IoT analytics projects
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White Paper
The Internet of Things: Finding the Path to ValueHow U.S. Manufacturing is Responding to the Business Challenges and Opportunities Being Unleashed by the Internet of Things and Advanced Analytics
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White Paper
Becoming a Smart CityExplore how new technologies empower city governments to run more efficiently, make decisions proactively, and provide services more effectively.
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White Paper
A Non-Geek's A-to-Z Guide To the Internet of Things This A-to-Z guide includes 101 common terms related to the Internet of Things.
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White Paper
Securing Your IoT Solution StackLearn why IoT solutions are so difficult to secure, what's needed to secure each layer of the IoT stack, and how SAS uses software like SAS Event Stream Processing to secure the applications layer.
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White Paper
The Connected InsurerExplore the opportunities IoT creates, the barriers to its adoption within the insurance industry, and what’s needed to fully exploit the potential of IoT for competitive advantage and growth.
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Check out these products related to SAS Analytics for IoT, all based on the powerful SAS Platform.
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SAS® Visual Data Mining and Machine LearningSolve your most complex problems faster with a single, integrated in-memory environment.
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SAS® Visual ForecastingGenerate large numbers of reliable forecasts – quickly and automatically – in an open environment.
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SAS® Visual StatisticsCreate and modify predictive models faster than ever using a visual interface and in-memory processing.
