With the new focus in Industry 5.0 on human-centric and resilient manufacturing, there is increasing interest in a value chain approach, where enterprises operate across multiple sites or with value chain partners, potentially with decentralised decision-making. However, collaboration across sites presents challenges, as each site often develops its own shopfloor dashboard, leading to inconsistencies in data collection, KPI definitions, and metric displays, preventing a unified cross-site performance view. This paper explores how Learning Factories can be used to develop industry-grade multi-site dashboards, which standardise and consolidate data from diverse systems, enabling a comprehensive perspective for global operations managers. We present a case study of a Learning Factory network spanning three sites with varying products, processes, and protocols. This network was used to develop a multi-site manufacturing dashboard, later deployed regionally to a multinational corporation in high-volume production. The collaboration with the Learning Factory allowed the company to co-innovate a dashboard tailored to their specific needs, improving oversight and optimising decision-making. These dashboards enable more agile real-time drill-down analysis, making it easier to identify underperforming sites and enhance decision-making agility. The collaborative nature of Learning Factories also facilitates the development of multi-enterprise dashboards, addressing challenges such as data privacy, security, and the standardisation of metrics across organisations. Learning Factories are key enablers of innovation in dashboard technology, driving the realisation of distributed smart value chains and supporting companies in their transition to Industry 5.0.