Issue link: https://read.uberflip.com/i/1516423
4 AWS knows industrial data management Insight Centers on AWS allow us to look at our whole value chain from the start to the end, from how we source our start material, how to do demand forecasting, how we operate on the show floor, to how we supply to our customers and our patients. —Amit Nastik, Global Head of Strategy and Operations, Novartis Read the blog › " The potential uses of industrial data, particularly when combined with the power of the Industrial Internet of Things (IIoT), are immense. Time-series and discrete data sets from IT and OT systems across many consumption patterns, such as real-time, analytics, and historical, can be used for everything from predicting and addressing factory equipment issues before they happen, to accurately measuring the cost of shopfloor tasks to reduce labor expenses, to automating maintenance workorders to improve machine availability. The reality is that every manufacturer has multiple use cases, types of data, users, and applications that require different tools--and those needs will evolve over time. Your organization, therefore, needs more than a single database, data lake, data warehouse, or business intelligence service and must be intentional about picking the right data specific to the use case. To truly unlock the value of your data and drive timely insights and innovation, you need an end-to-end strategy—one that makes working with data easier for everyone who needs it to drive results. With services proven in Amazon's Fulfillment Centers and across segments ranging from automotive and energy to manufacturing and pharmaceutical, AWS can make industrial data management easier at every point. The AWS approach to industrial data management is: • Comprehensive, delivering the right tools at the optimal price for any user, data type, and use case. • Integrated, bringing together data that is stored and analyzed in different tools and systems to drive greater business understanding and more accurate predictions. • Governed, with solutions designed to give users secure access to the data they need when and where they need it, at the speed change demands. • Open, enabling collaboration between operaWtions, maintenance, supply chain, and engineering to optimize design, source, make, and supply across the value chain—and unleash innovation.