Research On Big Data Enterprise Value Assessment

With the advent of the era of big data,the implementation of the "National Big Data Strategy",the promotion of open and shared data resources,and the promotion of the healthy development of the big data industry have become an important development direction for China during the "13th Five-Year Plan" period.However,due to the special value composition and business model of big data companies,the asset evaluation community has always lacked systematic valuation methods for big data companies.This has caused certain problems for big data companies,such as investment and financing,and corporate mergers.Constraints.Therefore,the establishment of a reasonable value evaluation system for big data companies is of great significance to the development of China's big data industry.At present,most researches on the valuation methods of big data companies use intangible assets as the starting point,adopting quantitative analysis-based income analysis methods and qualitative analysis-based analytic hierarchy process,but these methods still focus on the existing value of the company.Without fully considering the large potential value of big data companies,it is easy to underestimate the value of big data companies.Based on the consideration of value formation,this paper divides the value of big data companies into two parts,existing value and potential value.It uses the free cash flow discount model to evaluate the existing value and uses the BS option pricing model to evaluate the potential value.This kind of thinking has solved the incalculable problems caused by the high uncertainty of the future earnings of big data companies to a certain extent,helping the management,external investors and asset appraisers to fully understand the impact of investment or R&D projects on the value of big data companies.This article first sorts out relevant research literature at home and abroad,and introduces the theory of enterprise value and value evaluation respectively,analyzes the applicability of traditional valuation methods,and puts forward the limitations and problems of big data companies using traditional methods;The definition and classification of data companies further analyzes the characteristics of big data companies and the influencing factors of value evaluation,thus establishing a set of big data companies value evaluation system—the existing value evaluation model based on income approach and the potential value based on BS option pricing method.Evaluation model.Finally,through a case study of M data company,a typical big data enterprise in China,the effectiveness of the value evaluation model is verified.The results show that the error of the M company's value compared with the market value calculated using the value evaluation method proposed in this paper is not Large,the model has a certain reference value.It is hoped that the research on the valuation method of big data companies can improve and promote the theory and methods of value evaluation for big data companies,and it can be used as a reference for investors' investment,enterprise decision-making and industry development.