Research On Asset Value Evaluation Method And Application Of Big Data Based On Real Options

With the emergence of new technologies based on big data such as cloud computing,Internet of Things,artificial intelligence,and blockchain,China's digital economy has entered a new stage of rapid development,and big data has gradually become an important driving force for enterprise transformation and upgrading.The original data has been integrated into mining and analysis,and has become an important asset of the enterprise.The effective information contained in it can bring huge benefits to the enterprise.Big data as a new thing has been recognized by the market and widely used in various industries,which has greatly promoted the improvement of social production efficiency.The economic value of big data is gradually becoming more prominent,while the transaction pricing of big data has no unified standard,which causes the price of big data assets to not reflect its intrinsic value and hinder the development of big data trading market.Therefore,how to clearly define big data assets and build a set of evaluation methods suitable for the value of big data assets,it is particularly urgent and important to correctly and rationally price big data.This paper takes big data assets as the research object,and builds a big data asset evaluation method to evaluate the value of big data assets as the ultimate goal.First,this paper discusses the characteristics of big data assets and analyzes the factors that affect the value of big data assets.Secondly,after analyzing the characteristics of big data assets and their value influencing factors,the applicability of traditional evaluation methods and real option methods is analyzed.It is considered that the real option method is more suitable for the evaluation of the value of big data assets.Finally,based on the BS model in the real option method,this paper constructs a set of evaluation procedures for the value of big data assets.The model gives the conversion of financial options and real options.The corresponding relationship and the value of the parameter are applied in a specific case.At present,domestic pricing of big data assets is mainly based on traditional market methods,income methods or their improvement methods,and these methods do not take into account the uncertainty of the value of big data assets,making the evaluation results inaccurate.From the perspective of assets,this paper discusses the importance and possibility of big data becoming a corporate asset,and further divides big data into a special intangible asset and analyzes the factors that affect its value change.This has an understanding of big data assets.It must be a reference;by analyzing the advantages and disadvantages of traditional evaluation methods and real option methods,the big data asset valuation method based on the BS model is an important expansion and improvement of the current big data asset valuation method,and the practical application of the method.Research provides a reference and reference for evaluating big data assets in practice.