Quantitative Analysis On The Value Evaluation Of Big Data In Relay Innovation

With the rise of big data,big data industry has become a new commanding high point of economic growth.At present,most researches on big data focus on the technical field,and few researches on the business value of big data.At the same time,most of the papers on the value of big data at home and abroad are concentrated on qualitative analysis.There are few studies on the quantitative analysis of the value of big data,which leads to the ambiguity of the transaction price of special commodities such as big data.The characteristics of big data determine that few enterprises can independently complete the collection,storage,data cleaning and innovation of big data.Therefore,the "relay innovation" model can better explore the value of big data.Only by quantitatively analyzing the value evaluation of big data in “relay innovation” can the “relay innovation” process be successfully completed,and the commercial value of big data can be maximized and realized.Based on the latest research results of big data and relay innovation at home and abroad,this paper combines the relevant influencing factors and influence modes of enterprise innovation mechanism in “relay innovation” to construct enterprise innovation probability distribution function by using Weibull function.The innovation results are compared to real options,and the B-S option pricing model is used to establish the innovation result option value model.Finally,the “relay innovation” big data value assessment is associated with the “relay innovation” gains through innovation,and the two models are combined to build a “relay innovation” big data value assessment quantitative analysis model.This article mainly includes three parts: Firstly,it analyzes and studies the incubation mechanism of big data,the probability of innovation,the B-S option pricing model and demonstrates the feasibility of quantitative analysis of big data value evaluation in “relay innovation”.Secondly,the related factors affecting the success of innovation are summarized.The Weibull function is used to construct the probability model of enterprise innovation success.The innovation result is regarded as real option,and the option value model is used to establish the option value model of innovation results.Then,based on the enterprise innovation success probability model and the innovation result option pricing model,and then based on the capital invested in the big data research and development process,construct a quantitative analysis model of the big data value evaluation in the “relay innovation”;and use the case and computer simulation algorithm the model was verified.Finally,this paper proposes quantitative analysis of the value assessment of big data in "relay innovation" from the perspective of relevant details,and further summarizes and elaborates the research conclusions and prospects of this paper.