Proving the Business Case for the Internet of Things

Siemens uses SAS IoT to analyse health data

Steve Rogerson
April 17, 2018



Medical technology company Siemens Healthineers is using SAS's machine learning and IoT capabilities to analyse urgent data generated by its medical systems worldwide. The data come from equipment such as magnetic resonance imaging (MRI) and computed tomography (CT) devices.
 
SAS helps predict system problems and potential downtime several days in advance of a failure.
 
"Our goal is to maximise the uptime of our medical equipment at the customer site," said Mirko Appel, head of analytical services at Germany-based Siemens Healthineers. "Our analytical system receives hundreds of thousands of lines of sensor data each day, and a significant part of it is only semi-structured. Automated and scalable analytics are crucial to help us offer good decision support to our service-delivery organisation and to actively drive the digitalisation of healthcare. SAS helps us optimise our service processes, save spare parts and reduce troubleshooting time."
 
Enterprises such as Lockheed Martin, Octo Telematics and Western Digital have also selected SAS to pull insights from a sea of data created by connected devices.
 
"Traditionally, IoT has been associated with initiatives like the smart grid, smart cities and connected factories, but as we realise the value of analysing sensor data, the circle of involved industries grows wider," said Jason Mann, SAS vice president of IoT. "At its essence, Siemens Healthineers uses powerful analytics to help clinical settings remain more productive."
 
Mann added that SAS's IoT division would continue to focus on diverse industries including manufacturing, health care, government and insurance.
 
For example, Rome-based Octo Telematics provides big data and analytics services for the insurance and automotive industries. It collects 190,000km of driver data every minute, including vehicle-use data, such as how fast a driver accelerates and brakes, and crash data. This huge amount of data has helped it create what it claims is the world's largest driving behaviour database.
 
"Octo is helping transform the insurance business in the age of the connected consumer," said Gianfranco Giannella, COO at Octo Telematics. "Our solutions help insurers provide more precise policies while encouraging safer drivers and roadways. Delivering intelligence through SAS's best-of-breed analytics is at the heart of what we do. In shifting from static to dynamic or streaming data, insurers can achieve what we call the internet of insurable things."
 
Octo works with SAS to deliver multi-dimensional analytics and real-time data services such as risk scoring. These services help insurance customers better evaluate risk, price their premiums appropriately and assess accidents accurately. With incentives to improve driving behaviour, insurers can encourage safer drivers and have more relevant interactions with their policyholders.
 
SAS and Cisco will help create an IoT Innovation Lab for teaching and research at the University of Technology Sydney in Australia. It is based on the Cisco SAS edge-to-enterprise IoT analytics platform, which combines all the hardware and software needed to analyse IoT data so users don't need to build a platform from scratch.
 
The lab will explore how edge data generated by connected devices can be gathered and analysed for decision makers. Early research will focus on advanced energy, manufacturing, agribusiness and healthcare.