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SAS Analytics for IoT
From cars to factories to farms, organizations are collecting vast quantities of information from devices connected by the Internet of Things (IoT). While analysts expect the IoT to soar to tens of billions of devices by 2020, many fear that traditional approaches to data management and analytics may not prove suffi cient in this new, connected world.
To benefi t from the promise of the IoT, businesses must shift analytics from traditional data centers and the cloud toward devices on the edge – the “things.” However, challenges arise in capturing and analyzing the extreme volumes and varieties of data fl owing from the ever-increasing number of these things. Businesses need greater fl exibility in where, when, and how to manage and analyze IoT data. They need to understand which data is relevant now and which might be relevant later.
SAS Has the Answer SAS Analytics for IoT is a software solution that integrates streaming data with analytics and visualization to deliver more value from the IoT. Whether data is at the edge, in motion, or at rest, SAS Analytics helps you make swift decisions while reducing data movement and storage costs.
Designed to serve a variety of industries, SAS Analytics supports analytics at the edge – as well as analysis, visualization, and data inte- gration on the server side (data center or cloud) in a storage platform of your choice. Built on a proven technology foundation, our software solution covers the full analytics life cycle, starting with data capture and integration, and extending to analytics and deployment (Figure 1).
With SAS, you can:
Sense what matters. SAS incorporates a proven event-stream processing engine so you can implement real-time data man- agement. This includes intelligent fi ltering that deciphers signals from noise so you’ll know what’s relevant for your business.
Understand the signals in data. SAS allows you to mine and analyze IoT data throughout the connected ecosystem. You can combine IoT data with other sources that add context and detect patterns of interest as events occur.
Act with speed and confi dence. SAS decision-management capabilities drive real-time action – from simple alerts to com- plex, automated responses.
SAS Analytics for IoT Capabilities Support for the full IoT analytics life cycle
The IoT opens many opportunities to transform how you interact with customers, products, services and operations. To capture its full value, SAS Analytics works throughout the IoT infrastructure – from the data center or cloud all the way to the edge, and any point in between.
Proven event-stream processing capabilities SAS’s solution is built on SAS Event Stream Processing. This software analyzes data in motion, processing huge volumes at very high rates (millions per second) with extremely low latency (milliseconds).
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