Geneia and Town of Cary uses IoT with SAS Analytics
Geneia and Town of Cary uses IoT with SAS Analytics : SAS analytics reveal patterns and trends in that data, even while the data is still in motion. Analytics help manufacturers, energy companies and retailers dig value from masses of data from sensors, meters and monitoring devices. Analytics reveal opportunities to improve service, enhance products and avoid pitfalls. “The IoT is all about applying analytics to enormous amounts of data being generated by millions of connected devices,” said Jim Davis, CMO at SAS. “Analytics applied to that data drives real value for business, governments and society as a whole. SAS has an advantage because we’ve identified standard analytic procedures that allow organizations to enhance the customer experience, improve product quality and yield results from connected devices. While others are scrambling to develop scalable analytics to tame the IoT data onslaught, SAS has been analyzing this kind of sensor data for decades.” Geneia works with health insurance companies and health providers. Its monitoring device and Theon data integration and analysis system show promise for improving medical costs and patient health.
Analyzing sensor data with SAS allows Geneia-supported care teams to interpret changes in weight, pulse oxygen levels and respiration rates in heart patients within the context of the patient’s health and lifestyle, and subsequently determine the best intervention. These symptoms can indicate deteriorating health. Their detection, Lavoie said, can trigger earlier, life-saving intervention.
“To make the Internet of Things useful, we need an Analytics of Things,” said Tom Davenport, co-founder and Director of Research at the International Institute for Analytics. ”This will mean new data management and integration approaches, and new ways to analyze streaming data continuously. SAS is intensely focused on this important area.”
Other ways the IoT helps people is through towns and cities becoming “smart.” The Town of Cary, NC, is making use of the IoT. The Aquastar system used by the Town of Cary can detect unusual water usage and can notify customers by email. Aquastar analyzes sensor data – the kind of data that forms the heart of the IoT – hourly and automatically. The IoT affects the way the Town of Cary interacts with its citizens.
“Using the Internet of Things through Aquastar has transformed our customer service,” said Karen Mills, Finance Director for the Town of Cary. “Customer service is now proactive rather than reactive. We’re able to analyze hourly data to detect unusual water usage, then communicate with customers early to stop potential problems. Aquastar chews through millions of data points quickly – something the human mind can’t do alone – with the help of SAS analytics.”
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More Information on Predictive Analysis Process
For more information of predictive analytics process, please review the overview of each components in the predictive analytics process: data collection (data mining), data analysis, statistical analysis, predictive modeling and predictive model deployment.