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Industrial Data Fabric (IDF) solutions on Amazon Web Services (AWS) enable manufacturing and industrial companies to build the foundation for digital transformation to help optimize operations. IDF helps align different data types in the time domain with context as it combines many disparate data sources like time series data from machines, maintenance data from EAM and Enterprise Resource Planning (ERP), production order details from MES (Manufacturing Execution Systems), and scheduling and planning systems and material management systems. It is through this process we discover the semantic relationships between the different data types as well as the content of these data types.
IDF solutions on AWS help leading companies harness data from disparate sources with unprecedented speed and effectiveness. (Read more on this in previous blogs such as Getting Started with the Industrial Data Platform on AWS and Succeeding with Industrial Data Platforms.) Yet, implementing an industrial data foundation is not without its difficulties—from strategy to implementation to production support and evolution. 92% of executives cite cultural issues as the key barrier to establishing a data-driven culture, according to a recent survey by Harvard Business Review.