This study explores the nature of publicly available data, big data analytics, the knowledge derived from such analytics, and their interconnections in the context of achieving supply chain visibility, traceability and transparency to uncover the blind spots in the end-to-end supply chain. This study conducts a scoping review and evaluates the relevant academic works using publicly available data. From the reviews, we compiled a list of relevant data sources which can be categorised into 6 groups. Several data concerns like data source selection and data storage remain to be discussed. Finally, a conceptual framework is proposed to guide the implementation.