Do you find that BI, data science, and support teams aren't able to find, or access, relevant data to do their jobs? Or maybe executives complain about a lack of data or distrust of data from operations. If end users are discovering that data sets are incomplete or out-of-date, then this session is for you.
Industrial organizations are generating more data than ever before and looking to institute analytic applications to transform their organizations and give them a competitive advantage. Next-generation Data Lakes can create business value by efficiently storing all OT data in a central location and merging it with IT data. Whether you are creating a Data Lake from scratch or adding and managing operations data as part of your existing enterprise data repository, this session will help.
Discover how to automate the entire process to collect and securely store data from all sources and manage unstructured data, time series, documents, photos, video, and more. An Industrial Data Lake is the single source of truth for all your operations data.
You will learn how to:
• Create a trusted and unified view of data across multiple operating sites and regions.
• Eliminate data silos, empower optimization decisions and enable other operations departments.
• Control big data costs, curate, and catalog your data and support self-service dataflow management.