A Study on the Economic Model of Volume in the Age of Big Data

Abstract

With the rapid development of China's economy, the degree of integration of economics and management is deepening. Based on the statistical analysis method of big data, the trend and law of economic development can be obtained. Big data statistical methods are widely used in the field of economics and improve work efficiency. Effective statistical analysis of data can not only reflect the operation of the product in time, but also reflect the market demand for the product. Therefore, this paper studies the role of big data statistical analysis methods in the field of economic management. This paper first classifies and sorts out the representative quantitative research methods and models in the era of big data, and then based on the BP neural network model and combines 36 indicator data to make multivariate forecasts for China's consumer price index (CPI). The research results show that the prediction results of the BP neural network are good.