In recent years, from its emergence to the continuous growth of e-commerce, it is more and more affected by the relevant information technology and business model. With the gradual application of big data analysis and data mining technology in all walks of life, e-commerce and its related transactions, as a typical economic activity, their interaction and influence are of great significance for the development of industrial economy. However, due to the inefficiency of some mechanisms, the integration of e-commerce industrial chain based on channel completion has many gaps in the aspects of factors and terminals, data integration, and demand satisfaction. In this sense, it is necessary to achieve the integration of industrial chain enterprises by means of the technical support of big data and the effective connection between channels and markets. Through the research on these mechanisms and optimization paths, it is found that the application of big data in the integration of enterprises within the industrial chain should be realized through the dimension of value enhancement, and its application in the identification of target groups and demand prediction should be improved. At the same time, the application of big data in the layout and promotion of enterprises should be improved so as to improve the operation efficiency of enterprises effectively.