Research On Enterprise Operation Status Based On Big Data

With the rapid development of information science and technology,the traditional economic structure and social order have undergone major changes.The management methods of enterprises have gradually begun to rely on information science and technology,and the transformation of management methods has promoted the development of the enterprise economy.Enterprises have begun to apply various application management systems,and the use of various application systems generates a large amount of data,and these data are usually stored in databases and no one cares about them all the year round.This article will use these data and tap the potential value from it,so that the data can give full play to it.The operating status of an enterprise is mainly reflected in various economic indicators of production,among which economic benefits have become the research focus of enterprise management.This paper mainly focuses on the analysis of the metadata of the company’s orders,the total economic output of the company’s 35 subsidiaries in the past 3 years,the capital situation of the company’s subsidiaries,and the salary of employees on the job.The source data is preprocessed so that all kinds of data can meet the basic conditions of data analysis,and then the traditional clustering algorithm is used to find the correlation between the various data dimensions,and the analysis and research are carried out according to the clustering results.After clustering analysis,it is found that there is no positive correlation between the order volume of the enterprise and the income of the enterprise,the total income is positively correlated with the social accumulation rate,and the order volume of the enterprise is positively correlated with the loan amount applied by the enterprise.The discovery of these relationships will provide a certain degree of predictability for the development of the enterprise.When it is found that the order volume of the enterprise is too large or too small,it can be intervened in time.The association rule Apriori algorithm is used to analyze the data set.After analysis,it is found that the expenditure of human resources and the amount of foreign loans have a great impact on the total amount of orders.If an enterprise needs to adjust its business status in the subsequent process,it needs to pay more attention to the above two aspects.Finally,the principal component analysis method is used to calculate the weights of the various data indicators produced by the company.The total order weight is 0.36,the human resources expenditure weight is 0.28,the income and expenditure amount weight is0.33,and the foreign loan amount weight is 0.03.According to the above correlation coefficient The weight establishes the evaluation model of the enterprise economy.