Published on 11/10/2016 | Technology
From cars to factories to farms, many organizations are already collecting information from the connected devices that send and receive data over the Internet of Things (IoT). While analysts expect the IoT to soar to tens of billions of devices by 2020, no one knows how many or what new types of intelligent devices will emerge. But we do know that traditional approaches to data management and analytics may not be sufficient for sustaining value in this new, connected world.
Simply collecting data from connected sensors, systems or products is not enough. To benefit from the promise of IoT data, businesses need to be able to shift analytics from traditional data centers toward devices on the edge – the “things.” The challenges arise from the complexity – and risks – inherent in capturing and analyzing extreme volumes and varieties of the data torrents owing from ever-increasing numbers of things.
Today’s businesses need more flexibility about where, when and how to manage and analyze IoT data. And they must understand which data is relevant, so they’ll know what to store and what to ignore. To get there, they need a trusted, automated solution.
Building from a proven technology foundation, SAS integrates streaming data with analytics and visualization so you can get more value from the IoT. Whether your data is at the edge, in motion or at rest, SAS technology helps you make swift decisions while reducing data movement and storage costs. Our solution covers the full analytics life cycle, starting with data capture and integration and extending to analytics and deployment.
Reduce cost and raise productivity by collecting, managing and analyzing data where it lives. SAS lets you integrate, visualize, transform and analyze IoT data across the ecosystem — edge devices, data centers or the cloud.
Respond quickly and confidently to changing conditions and claim new IoT market opportunities as you tap into the full potential of all your data to make better-informed business decisions.
Skip complexity when you streamline and automate processes across your IoT infra- structure for incremental and long-term business gains.
Support for the IoT analytics life cycle - The IoT opens many opportunities to trans- form how you interact with customers, products, services and operations. To capture its full value, you need an analytics solution that takes an enterprise approach. SAS supports analytics throughout the IoT infrastructure – from the data center or cloud all the way to the edge, and at any point in between.
Proven event stream processing capabilities - Our IoT solutions are built on SAS Event Stream Processing, which analyzes data in motion by processing huge volumes at very high rates (in the range of millions per second) – with extremely low latency (in milliseconds). You can also embed this powerful solution in devices to shift intelligence to the edge.
Comprehensive analytics capabilities, proven data management techniques - SAS offers the widest and deepest range of analytics capabilities – from basic reporting and traditional statistics to descriptive, predictive and prescriptive techniques – as well as machine and cognitive learning. We develop and continuously improve upon the latest techniques to find those best suited for high-frequency and streaming data. And our industry-leading data management capabilities can take IoT data – generated anywhere – and make it analytics-ready.
Flexibility to run on a range of hardware, or in the cloud - SAS runs on a wide variety of platforms including low-cost commodity hardware. It can exploit big data appliances and run in the cloud. SAS also works with many communication and hardware vendors to support embedded analytics in their edge devices – especially IoT gateways.
Find out more at sas.com/analytics-iot
