Narrow Results

The coordinated development of taxation and the digital economy is related to the new pattern of China’s economic development. With the deepening of the integration strategy, the informatization construction of the tax system has made great progress. At the same time, however, the environment of informatization construction is constantly changing, especially in the era of the “digital economy”. With the promotion of tax reform, the application demand of tax informatization is increasing, and problems such as information islands and information asymmetry are gradually emerging. The system designed in this paper uses Hadoop data processing cluster and JavaWeb to develop a comprehensive tax data analysis system based on big data. Aiming at the problem of tax data informatization, three main functional modules, data integration, data inspection, and data query, are developed to centrally manage the data and provide inspection functions, so as to improve the quality of tax data and effectively help local tax authorities to comprehensively analyze the data of all parties. The platform has the advantage of highly centralized data, realizes data query function, improves the quality of tax-related data queries in the tax system, and further improves the quality and efficiency of tax supervision of regional tax authorities, thus promoting the development of the regional economy in China.

Data warehouse is a big repository of an organization's electronically stored data. It is designed to facilitate reporting and analysis. With the tax data becomes more and more in China, building a data warehouse is necessary to meet the requirements of analysis and inspection. To build the tax data warehouse, firstly, we need to establish the uniform standards and determine the subject, then, we need to construct the data warehouse. Data mining is the process of extracting hidden patterns from data, and many data mining methods can be used. In this paper, we use the rule induction method in tax inspection and find we can improve the prediction accuracy rate of the actual tax inspection to a higher level.