Commercial Big Data Asset Evaluation Based On Improved FCFF Model

In recent years,the birth of big data and its derivatives has brought a positive impact on the way companies operate and people's living habits,and the people's living standards and disposable income have increased significantly.Under the macro background,the country vigorously develops new technologies such as big data,intelligent AI,and technology cloud.Human society has entered the "digital economy era",which is driven by big data technology.Big data is the core of the digital economy,so strengthen the application and research of big data technology has been included in the key projects of various countries.In the micro-environment,companies have begun to explore the application of big data,and invest more funds in this field,increase the research and development of key technologies such as data mining,in order to obtain greater cash flow.As a result,the evaluation of big data assets has become a key part of my country's rapid economic and social development.The purpose of this paper is to construct a model,which is an objective and operable big data asset valuation model.To a certain extent,it complements the methods and cases of big data asset valuation practices in China and provides reference for enterprises to sound management system of big data.First,this paper defines the concepts related to big data assets with respect to the characteristics and profitability of big data assets,while classifying big data enterprises and exploring the value sources of big data.Then,it is found that the value of big data assets cannot be matched with the traditional valuation methods,and can only be calculated with the help of big data enterprise value combined with big data asset sharing rate.So the author chose the more intuitive FCFF model in the enterprise value assessment method.Second,in the process of studying the FCFF model,it was found that the traditional forecasting methods were all too subjective and did not perform statistical hypothesis testing.Therefore,the ARIMA model in time series combined with FCFF model is proposed in order to predict the enterprise's earnings more accurately,while the entropy weight method is used to correct the big data asset sharing rate,and a model based on the improved FCFF business big data asset valuation is constructed.Finally,this paper takes Oriental Fortune as a case study and conducts a case study.The enterprise value of Oriental Fortune and the value of its big data assets are confirmed,and when compared with the stock price at the same time,the error is found to be small,and the feasibility of the model is also confirmed.This paper uses the improved FCFF model to evaluate business big data assets in order to clarify the true value of big data assets.Through a reasonable value of big data,it enables business managers to understand the value of big data assets and improve the management regulations of big data assets and related talent training in enterprises.Although the value may be biased,it is hoped to promote the status of big data assets can be further improved.