In 2025, integrating industrial data into the corporate environment has shifted from an optional technical upgrade to a critical challenge. Enterprise leaders increasingly face the gap between operational technology (OT) and IT systems, where equipment telemetry remains isolated and unstructured. Transforming this "raw noise" into business assets requires building a robust integration architecture.
Why raw sensor data fails to become business insights
The core issue lies in the lack of a unified semantic model. When data from programmable logic controllers (PLCs) is transmitted to an ERP system without context, it loses its applied meaning. Without metadata explaining the nature of the metrics, end-to-end analytics become impossible, and attempts at direct integration often lead to technical debt and format conflicts.
OPC UA as a semantic bridge: from protocol to business context
According to the OPC Foundation, OPC Unified Architecture is a platform-independent architecture that ensures secure and reliable interaction in industrial systems. OPC UA acts as a semantic bridge: it not only transmits values but also adds context through information models. This allows MES systems to "understand" data from heterogeneous PLCs without the need to write custom drivers for each equipment type.
Security under ISA/IEC 62443: the architectural foundation of integration
Integration security is a priority. The ISA/IEC 62443 series of standards covers over 20 industries and serves as the foundation for building industrial automation systems. As noted by NIST in the SP 800-82 guide, IT and OT network segmentation is a fundamental control for ensuring industrial cybersecurity. OPC UA provides secure exchange mechanisms, but these must be part of a broader strategy that includes isolating the critical production segment from the corporate one.
The role of the edge layer in noise filtering and reducing ERP load
In accordance with AWS Well-Architected IoT Lens approaches, the reliability of solutions is established at the data flow design stage: device → edge → cloud. Processing telemetry at the edge level (specifically via AZIOT) allows for noise filtering and initial aggregation before sending data to corporate systems. This minimizes network load and ensures the stability of the ERP system.
Building a business layer on UnityBase: transforming telemetry into management decisions
After data normalization via OPC UA and edge processing, information must be integrated into business processes. For this, the UnityBase platform, a joint development by Intecracy Group companies, can be used. UnityBase provides an integration layer where sensor data becomes part of reports and management decisions. By using domain metadata, the platform allows industrial telemetry to be linked with corporate documents, facilitating end-to-end digitalization of maintenance and audit processes.
FAQ
How to integrate legacy industrial equipment into a modern ERP system via OPC UA?
For legacy equipment, industrial gateways are used to read proprietary protocols and convert them into an OPC UA semantic model, ensuring compatibility with the modern IT environment.
What are the main ISA/IEC 62443 requirements for IT/OT network segmentation?
The standard requires network zoning and the establishment of clear boundaries with access control to minimize the risks of cyber threats spreading from the corporate segment to critical production controllers.
How to avoid corporate network overload when transmitting data from a large number of IoT devices?
It is necessary to implement edge processing for data filtering and aggregation directly on the production site, transmitting only meaningful events to the corporate environment.