Historically, data and analytics have been built on hierarchical client-server architectures constrained by the ISA-95 framework. While this framework served its purpose, it also created gaps in the architecture and data silos, problems that can now be addressed by modern network-based architectures in an Industry 4.0 world.
As operational architecture has evolved, leading companies have taken to constructing and implementing their own architectures using an Industrial Data Hub approach. LNS Research defines the Industrial Data Hub as a software system that collects, stores, and governs industrial data, along with its associated metadata, in a centralized location that natively connects to several data sources across the plant and enterprise, through multiple proprietary and open-source protocols.
This Research Spotlight explores not only the use of the Data Hub, but also reveals how companies implement common data models and DataOps to support this next-gen architecture. According to LNS Research, these next-gen architectures will build a strong foundation for seamless data transfer, IT-OT Convergence, and Advanced Industrial Analytics while also serving as a steppingstone for the next steps in a transformation journey.
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