Leveraging the Cloud for Big Data Analytics
With the vision of a world without disease, one multinational manufacturer of medical devices and bioinformatics, pharmaceutical and consumer-health products is focuses on three components – prevention, interception and cure for disease.
“At the heart of each of these three initiatives is data that either drives an outcome or drives visibility to an opportunity,” said the company’s vice president and CTO.
According to the head of data sciences and advanced analytics, it’s all about the patients and how the company transforms healthcare. As one of the newest fields in the industry, data sciences is making a transformational impact on health, according to the vice president and CTO.
With more than 260 operating companies across 65 countries, the manufacturer has data everywhere, according to the director of enterprise architecture. “We have these great processes everywhere, and we have different market conditions everywhere,” he said. “It’s very difficult for us to bring all the information together in order for us to make enterprise-wide decisions.”
The manufacturer has myriad types of data, including structured, unstructured, voice, video and image datasets. “We have taken really strong steps within our company to utilize advanced analytics and data sciences,” the head of data sciences and advanced analytics said, which is enabled by best of technology and technology partners, including Intel, across the globe to address some of these challenges.
As the manufacturer begins to explore its data more and more on a near-real-time basis and at scale, it is seeing patterns and relationships that enable garnering better insight across the enterprise – from maintaining inventories and medical devices to forecasting revenue opportunities.
The manufacturer’s hybrid-cloud architecture has enabled many of these capabilities, including running some 120 applications and supporting its big-data architecture in order to complete highly intensive complex and data modeling.
“What the cloud has enabled us to do is make sense of that data,” said the vice president and CTO. “It’s giving us the scale that we need to operate and the ability to scale up and scale out. These new clouds in combination with new technologies, such as machine learning, have allowed us to flatten out the time to insight. We’ve decreased provisioning times from three months to under an hour, which is game changing.”
“We can then make the decision quicker, fast and better,” said the director of enterprise architecture.
“Technology is going to play an increasing role as we move forward,” the vice president and CTO noted. “We use technology to drive business value at scale and for outcomes and better healthcare for the country and the world. It’s what we do.”
For more information please click here.