Research On Evaluation Of Operation Efficiency Of Big Data Enterprises Based On DEA Method

In recent years,big data has been widely concerned by the government,industry,and science and technology,and has become a global development trend.The big data industry has also received high attention and support from the state and the government as an information service industry that collects,mines,and analyzes and processes data.In order to promote the rapid development of the big data industry,Europe and the United States and other countries have put forward corresponding big data strategies.The Chinese government has also launched relevant big data development support plans.There is no doubt that Big Data has profoundly affected and changed people's production and lifestyle.The scale of China's big data market has been increasing year by year,which also shows that the development of big data industry is getting better and better,and it plays an important role in the development of China's economy..As the main body of the big data industry,big data companies influence the development of the big data industry.Therefore,it is particularly important to study the business performance of big data companies.This article takes the big data enterprise as the research object and evaluates the business performance of the company.Firstly,it uses the literature analysis method to analyze the domestic and foreign research status of China's big data enterprise business performance evaluation.Secondly,it introduced the connotation of business performance and related theories of business performance evaluation,the selection of business performance evaluation methods and the basic theory of DEA.It also analyzed the connotation,development,characteristics,classification and status quo of China's big data companies and their impact on the performance of big data companies.the elements of.After that,GEM method and coefficient of variation coefficient combined with questionnaire survey method were used to select primary evaluation indicators for the performance of Chinese listed big data companies from the two aspects of keyness and differentiation,and an evaluation index system for big data companies' business performance was constructed.Select big data companies that play a key role in the development of the national economy as the evaluation target,determine the proportion of big data R&D personnel,the intensity of big data R&D investment,the expenditure of developing big data items,intangible assets of enterprises,and sales expenses of big data products as input indicators.The number of invention patents,the number of software copyrights,the sales revenue of big data new products,the income of big data products and services,and the net profit of enterprises are used as output indicators.Then,based on the BCC model,the super-efficient DEA model,and the Malmquist index model in the DEA method,an enterprise performance evaluation model was built to empirically measure the performance of 36 big data companies in 2013-2016 in China,from static efficiency analysis to dynamic efficiency analysis.Three categories of comparative analysis of the performance of big data companies have been evaluated.Finally,according to the empirical results,from the aspects of strengthening enterprise R&D talent team construction,increasing enterprise technology innovation,rational allocation of technology input,and rational allocation of economic input,etc.,corresponding countermeasures and suggestions are proposed for improving the performance of big data companies.