Smart manufacturing is revolutionizing the industrial sector by integrating IoT, AI, and cloud technologies to create data-driven production environments, with significant productivity gains reported by initiatives like smart factories. However, challenges persist, such as data silos and outdated systems, which hinder real-time operational insights. The Unified Namespace (UNS) model offers a solution by consolidating all operational data into a single repository, facilitating seamless data sharing and enhancing decision-making. MongoDB, with its flexible document-based architecture, is highlighted as an ideal choice for implementing a UNS due to its ability to manage diverse and evolving data, support real-time data processing, and scale with growing manufacturing needs. The "Leafy Factory" demo exemplifies MongoDB's capability to integrate ERP, MES, and shop floor data, showcasing how it can transform data management and enable real-time insights in smart manufacturing environments. This approach not only enhances operational efficiency and cross-functional insights but also lays the groundwork for advanced applications like predictive maintenance, ultimately driving a data-driven transformation at scale.