and verify relevant economic theori

and verify relevant economic theories effectively in the statistical process, providing favorable technical support for data quantification.1.2 Meeting the needs of economic development and ensuring the accuracy of economic modelingTraditional economic statistical methods have certain uncontrollable external factors, so continuous verification cannot be performed when economic modeling is performed, and the accuracy of modeling is low. The use of big data analysis can take other factors into consideration, and in the process of economic modeling, exogenous variables are introduced into the model, so that the results of economic statistics are more accurate. At the same time, the use of big data analysis meets the needs of current social development, and big data analysis promotes the accuracy of economic statistics, and brings positive economic effects to economic statistics. As a result, the value of data itself can be effectively realized [1].1.3 Meeting the diversified needs of usersThe application of big data analysis in economic statistics can effectively meet the diversified needs of users, and big data analysis based on cloud computing technology has the advantages that traditional economic statistics methods do not have and can further promote the development of specific economic fields. First of all, in the data statistics and analysis of virtual economy, big data analysis can effectively allocate resources according to the actual situation of enterprises. Secondly, big data analysis can analyze information in more detail to dig out the potential value of information. In addition, the rational use of big data analysis can save costs for the economic operation of the enterprise to a certain extent, and maximize the use and allocation of resources, as well as promoting the efficiency of data analysis.2. The application of big data analysis in economic statistics2.1 Neural network methodNeural network method is essential in the use of big data analysis in economic statistics. The so-called neural network method is a way of analyzing economic problems based on simulating the human brain and processing data to draw corresponding conclusions. As an intelligent data analysis method, neural network method has the characteristics of accuracy, efficiency and comprehensiveness, which can clearly reflect the relationship between data to make sufficient preparation for the later use. And it can make the data analysis get the ideal effect, so the technicians can get the corresponding analysis results after inputting the information. In addition, the use of neural network method improves the efficiency of information processing to a certain extent, and makes economic statistics more accurate, so as to ensure the effectiveness and reliability of economic statistics results. And the use of neural network method in economic statistics ensures the comprehensiveness and integrity of big data itself to the greatest extent, and provides effective guarantee for the use of later statistical data. Moreover, it enables technical