The increasing complexity and volume of manufacturing data in Industry 4.0 necessitate advanced visualization techniques to enhance process transparency and facilitate fault detection. This paper presents a live data visualization framework leveraging the Industrial Metaverse to render invisible data flows in networked production environments accessible and interpretable. The proposed approach utilizes the Open Platform Communications Unified Architecture (OPC UA) and the Asset Administration Shell (AAS) as standardized data sources, integrating the Digital Product Passport (DPP) to enable structured aggregation and visualization of lifecycle data. Implemented within a Unity 3D-based environment, the framework employs interactive visual elements, such as dynamic signal flows and contextualized color schemes, to provide an intuitive representation of manufacturing processes. Furthermore, an automated process visualization reconstructs production activities, enhancing traceability and enabling in-depth process analysis. A prototype implementation in a real-world manufacturing cell demonstrates the effectiveness of the proposed framework in improving process transparency, optimizing maintenance workflows, and supporting operator training.