98-year-old Mildred is home thanks to the Internet of Things and SAS

SAS® software unveils insights from the IoT and improves lives with analytics

Mildred* is a 98-year-old great grandmother who still cooks Sunday dinner for her family in her St. Louis home. In the last year, Mildred was hospitalized twice for heart failure and was able to return home quickly both times after short stays. That doesn’t happen often for patients Mildred’s age. But Mildred’s care team monitors her health 24/7 through a wearable medical device from Geneia that wirelessly transmits biometric data to an interactive patient portal. Geneia uses SAS® to analyze data from the Internet of Things and provide regular reports back to Mildred’s team. They evaluate those reports alongside her health record to recommend care that keeps Mildred exactly where she wants to be: living independently in her own home.

Software from analytics leader SAS empowers organizations to exploit data pouring in from devices connected to the Internet of Things (IoT). The suite harnesses event-stream processing, in-memory analytics, data visualization and data management technologies.

Mildred is one of millions benefiting from IoT data. SAS analytics reveal patterns and trends in that data, even while the data is still in motion. Analytics help Mildred’s team guide her care while her daily life goes on. They also 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.”

For more on how analytics drive value from the IoT, download “IoT Analytics in Practice,” a report from Blue Hill Research.

Analytics preserve health in the IoT Age

“The Internet of Things strengthens our ability to improve people’s health and longevity,” said Heather Lavoie, President and COO of Geneia. “SAS’ IoT-friendly technologies help us incorporate contextual data, paint a robust picture of the patient, and inform better health care decisions.”

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.

For example, 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.”

Analytics of Things preserves money, natural resources

Other ways the IoT helps people is through towns and cities becoming “smart.” The Town of Cary, NC, is making use of the IoT.

Mary**, a Cary homeowner, always waters her garden before leaving for vacation. But this year, in all the excitement of packing the car and heading to the beach, she left the hose running in the backyard. Fortunately the Aquastar system used by the Town of Cary detected unusual water usage and notified her by email. Mary called the Town’s Customer Service department, which dispatched a truck to halt the 200-gallon-per-hour water loss. 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.”

SAS and the IoT

SAS helps customers channel IoT data into value. Besides analyzing data while it’s still in the constantly-flowing stream, SAS extracts that data from high-capacity frameworks like Hadoop, mines what’s valuable and filters out the noise. Finally, SAS incorporates data visualization to reveal patterns and trends that can be acted upon quickly. For more on SAS and the IoT, visit www.sas.com/iot.

According to Blue Hill Research, organizations must invest in a combination of people, processes and technology to transform individual sensor signals into action. “It’s important to choose a technology partner with the right levels of experience and domain expertise to ensure success,” said James Haight, Analyst at Blue Hill Research. “We’ve found SAS is well suited for this role given its long history working with the industrial internet and IoT pioneers.”

The stories mentioned in the announcement came from The Premier Business Leadership Series event in Las Vegas.


SAS è leader negli analytics. Attraverso software innovativi e servizi, SAS aiuta e ispira i clienti in tutto il mondo a trasformare i dati in conoscenza. SAS fornisce THE POWER TO KNOW®. In Italia dal 1987, ha oggi una struttura di oltre 330 persone operative nelle sedi di Milano, Roma, Venezia Mestre e Torino.

Analytics 2015

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