Research On Value Evaluation Of Big Data Service Enterprise Based On BP Neural Network

Nowadays,great changes have taken place in the way of data utilization.Data has become a new factor of production and a new driving force to promote the development of enterprises in the digital era.The commercial application of the new generation of information technology reduces the cost of data processing,accelerates the accumulation of data resources,and gives birth to a new business development model.These enterprises take data as "raw materials" and digital technology as means to provide big data products and services.These enterprises are called big data service enterprises.With the recognition of data value and the importance of digital transformation in the whole society,the big data service industry shows an expansion trend.In contrast,in the academic circles,the research on the value of big data service-oriented enterprises is still blank.Considering the particularity of the business model of big data service enterprises and the uncertainty of future earnings,it is difficult to find comparable companies and the statements can not reflect the integrity of value,so the traditional evaluation methods are difficult to apply.Under this background,this thesis studies the value evaluation of big data service enterprises.On the basis of combing the relevant literature at home and abroad,this thesis first defines the big data service enterprise and analyzes the unique characteristics of the big data service enterprise;Secondly,this thesis analyzes the value of big data service enterprises,considers that the current business model of big data service enterprises includes four categories: big data information service model,big data technology service model,big data basic support service model and big data fusion application service model,and analyzes the influencing factors of the value of big data service enterprises.On this basis,this thesis analyzes the shortcomings of traditional evaluation methods to evaluate big data service enterprises,and puts forward the use of BP neural network model to evaluate the value of big data service-oriented enterprises;Thirdly,this thesis constructs the value model of big data service enterprises based on BP neural network,successively determines the evaluation indicators,correlation functions and important parameters,and selects 56 big data service enterprises as training samples to train the model;Finally,this thesis selects four big data service enterprises as test samples to verify the effectiveness of the model.The innovation of this thesis is to apply BP neural network model to the value evaluation of big data service enterprises.By analyzing the value influencing factors of big data service enterprises,select the evaluation index system,train the model,and verify the effectiveness of the model through empirical analysis.BP neural network has good popularization significance in the value evaluation of big data service enterprises.BP neural network has the characteristics of strong flexibility and operability,does not adhere to strict evaluation assumptions,reduces the impact of subjective human factors on the evaluation work,and the prediction results can reflect the relationship between the evaluation indicators and enterprise value.Today,when the three evaluation approaches are difficult to apply to the value evaluation of big data service enterprises,BP neural network model can provide new evaluation ideas.At the same time,under the background of the prosperity and development of big data industry,this thesis has reference significance for big data service enterprises on how to form competitive advantages and realize the benign development and value-added of enterprises.