Johnson & Johnson Uses Data to Drive Smart Decisions
As the world’s largest healthcare provider, Johnson & Johnson uses data science in healthcare to speed critical decision-making. From advanced analytics and machine learning to the use of hybrid cloud, the company has put data at the center of their global operations, transforming healthcare for their customers.
Johnson & Johnson touches over a billion people a day. The vision is a world ...without disease. Their technology efforts have three components: prevention, interception, and cure of disease. At the heart of every one of these initiatives is data—that either drives an outcome or drives visibility to an opportunity. In essence, it’s all about the patients and transforming healthcare. And data science, being one of the newest fields, is actually making a transformational impact on health.
Johnson & Johnson has 265 operating companies across 65 countries. They have data everywhere. They have great processes everywhere. They have different market conditions everywhere. It’s difficult to bring all that information together so they can make enterprise-wide decisions. Johnson & Johnson has various types of data: structured, unstructured, voice, video, and image datasets.
Johnson & Johnson has taken steps to utilize advanced analytics and data sciences, enabled by the best of technology and technology partners across the globe to address some of these challenges. As they begin to explore their data more, and more on a near-real-time basis at scale, they’ve observed patterns that enable them to get better insight, whether it’s maintaining inventories and medical devices or forecasting revenue opportunities. The cloud has enabled them to make sense of that data. They have the ability to scale up and scale out. These new clouds, in combination with new technologies, like machine learning, have enabled them to flatten out the time to insight. They’ve decreased provisioning times from three months to under an hour. They can make the decision quicker, fast, and better.