AppomaxEditorial · 2026-01-08 00:00

Article provides a five-step strategic guide for factories to effectively implement Industrial DataOps, focusing on data utilization over technology.

The article outlines a strategic five-step approach for factories to implement Industrial DataOps, advising them to begin by defining data usage goals and leveraging existing operational technology data. This method helps avoid common pitfalls of technology-first approaches and ensures a robust, scalable data foundation.

This structured implementation enables factories to achieve reliable data, scalable systems, and readiness for advanced applications like Smart Factory initiatives and AI. It emphasizes building a foundational data structure rather than focusing on end-user dashboards.

Fast Facts

·Starting point: Define data usage goals (e.g., real-time machine status, downtime reduction, energy analysis).
·Initial focus: Extract data safely from existing OT sources (PLC, SCADA, Power Meter, Sensors).
·Data extraction method: Read-only, no modification to machine logic or disruption to existing systems.
·Data standardization: Implement naming conventions, group data, create central data models.
·Data storage strategy: Plan for historical data retention, resolution, and duration.
·Implementation approach: Start with small, complete use cases (e.g., one machine monitoring, one line's daily report).
·Benefit: Reliable data, scalable systems, foundation for Smart Factory and AI.
·Recommended method: Proof of Concept (PoC) for validation and limited budget.

Digitalization

Energy Efficiency

Source

Article provides a five-step strategic guide for factories to effectively implement Industrial DataOps, focusing on data utilization over technology.