In order to solve the problems of discrete manufacturing workshop, such as difficult evaluation of operation activities, poor traceability of production bottlenecks, low real-time decision-making in production process, and scattered storage of production data, a workshop operation decision-making optimization technology based on data-driven is proposed. Based on the data-driven workshop operation decision optimization framework, three key technologies are discussed in depth, including the quantitative evaluation method of key indicators of workshop operation decision, the distributed collection and storage of workshop data and the identification method of key features, and the data-driven workshop operation decision optimization technology. The practical application results show that the technology can solve the existing problems and has certain reference significance for the realization of data-driven intelligent workshop.