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With the continuous advancement of the globalization of the world economy, market competition is increasingly fierce. However, the company generates a lot of data in the process of operation. For finance, how to quickly find the deep meaning of these data, how to relate each information, whether the company’s expenses are reasonable and whether the company has the ability to deal with financial loopholes and other issues need to be further resolved. These kinds of complicated financial problems in the past can be easily handled by building an intelligent financial management system model. The so-called data mining technology is to find those resources that are not easy to find and very useful from a variety of data. The so-called intelligent technology is to simulate it by analyzing the relevant basis used by researchers, the way of analyzing problems, and the level of solving problems. The application of this technology can help analyze finance, improve accounting information systems, carry out financial intelligent management, and design an intelligent system for analyzing financial management and business knowledge data, The transition from the original financial type to the current business decision-making type will be of greater help to policymakers and managers. According to the current social reality, smart finance has changed a lot. The base of initial accounting information is relatively small. Whether it is financial analysis, accounting-based accounting, or efficiency, it cannot achieve analysis and decision-making on complex issues. The emergence and popularization of intelligence and the emergence of related technologies provide a good way for people to solve relevant problems, and promote the transformation of the accounting system in modern society, from the original accounting type to information and networking, and finally to intelligence.
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