Abstract: Innovation efficiency has always been the critical factor for strengthening competition power of enterprises Based on data from 32 big data enterprises in the year of 2015, DEA method is used to calculate efficiency values and analyze the influencing factors of innovation performance The results show that the overall level of innovation efficiency of big data enterprises is low, especially for technical efficiency; invalidation of DEA results is prevalent; most big data enterprises are in the stage of increasing returns to scale with the insufficient input of innovation; input redundancy and output insufficiency, especially the former, are severe to big data enterprises In the layer of industrial chain, big data enterprises in application-service layer is confronting more serious problems To improve the innovation efficiency of big data enterprises, corresponding countermeasures are put forward at the end of empirical part

Key words: big data enterprise, big data industrial chain, innovation efficiency, DEA method