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.
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.
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.
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.
This A-to-Z guide includes 101 common terms related to the Internet of Things.
451 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.
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.
Machine 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.
Explore how AI and IoT work together to deliver everything from improved threat detection to better customer engagement for utilities.
The 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.
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.
Find 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.
This 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.
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.
This 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.
Learn 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.
This 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.
Learn how SAS provides extremely high-throughput, low-latency technology to meet whatever streaming analytics your company might want to pursue.
A 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.
The 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.
Learn 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.
Discover how new sources of data provide an opportunity to improve the efficiency of transportation systems while providing new services and optimizing transportation investments.
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.
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.
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.
Find 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.
This 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.
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.
With 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.
This 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
Quality 4.0 isn't really a story about technology. It's about how that technology improves culture, collaboration, competency and leadership.
Leveraging a big-picture approach to Hadoop opens up a world of
Blue 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.
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.
Futurum 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.
Technologies 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.
The 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.
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.
this paper will help business decision makers make informed investment decisions about the future of their own IoT analytics projects
How U.S. Manufacturing is Responding to the Business Challenges and Opportunities Being Unleashed by the Internet of Things and Advanced Analytics
Explore how new technologies empower city governments to run more efficiently, make decisions proactively, and provide services more effectively.
Learn 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.
Explore 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.
Check out these products related to SAS Analytics for IoT, all based on the powerful SAS Platform.
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