Data integration between information systems presents nowadays some research topics strongly approached by process industries and delivers increasingly sophisticated works and techniques. The pharmaceutical industry and especially the vaccine field are strongly interested by these outputs in order to better integrate data in their supply chain. With a complex product in the design, the form and the definition, this paper aims at proposing an approach to integrate diverse data in the production information system of the vaccine industry. Our scope highlight the importance of information flows and our contribution consist in proposing a transverse approach to track product information throughout its lifecycle and detect diverse entities affecting the production stage. From identified information systems, we collect diverse data with potential impact in the production information system. Using collected information, we aim (i) to ensure technical product data compliance, (ii) to better evaluate and integrate demand and forecast according to market trend, (iii) and finally to ensure a better data integrity to serve global business optimization by an estimation of production cost.