Numerous terms are used to describe the realm of industrial digitalization, and this diversity of attributes can sometimes lead to confusion. The lexicon spans from "Industrial Internet of Things (IIoT)" to "Industry 4.0." Nevertheless, irrespective of the terminology employed, digitalization fundamentally revolves around the interconnection of machinery and equipment into a network, thereby enabling the comprehensive collection of data generated by each individual machine. This data encompasses a spectrum of metrics, including machine performance, operational uptime, machine status, quality, and traceability.
The collected data affords a real-time perspective on the functioning of processes. Ultimately, this information is distilled into fresh, profound insights regarding operational dynamics and helps identify areas ripe for enhancement.
In essence, digitalization serves as the conduit for the transformation of production data into valuable insights.