The Application of Big Data Technology in Monitoring and Analyzing the Operation of Economic Policies

To solve the problems encountered by the large-scale information and make full use of the benefits it brings, it has been widely used in many fields such as public security, finance, and government. It has been widely used in many fields. This article presents the application research of large data processing technology in industrial statistics processing and prediction. Through the integration of large data technology such as sensors, wireless communication, and distributed database, the effective collection, transmission, storage, and analysis of various data are achieved. An industrial big data management system has been established for major investment project management, enterprise energy conservation and consumption reduction monitoring, and economic operation monitoring and prediction. By developing warning rules and knowledge models for industrial economic operation, warnings can be set for various management indicators and the function of predicting main indicator data can be achieved. At the same time, the prediction of industrial economy mainly examines two indicators: Industrial added value and industrial added value growth rate. Using the established model to predict the industrial added value and growth rate of the entire provincial and local level cities, the results show that: With the continuous increase of data volume, the model needs to be trained in a timely manner to make the prediction results have greater credibility. In the operation monitoring business portal, display the business indicators that exceed the warning line in industrial operation, so that leaders can see the indicators that exceed the warning line and timely propose solutions to the problems that arise.