Development Countermeasures of Business Management Informatization Based on Machine Learning Algorithm

Abstract

Business management is an important part of social service and governance. With the development of economy and technology, the pressure on enterprises to participate in the market competition is gradually increasing. Therefore, it is particularly important to establish an information-based business management system. However, there are still many problems in the process of informatization development of enterprise business management, which seriously restricts the comprehensive development of enterprises. On the one hand, the existing business management information system lacks effective security and supervision links. On the other hand, there is a lack of professional information technology personnel within the enterprise. Machine learning is a discipline that specializes in how to simulate human learning behavior, and it can continuously learn new knowledge structures to make itself progress and develop. The development of enterprise business management informatization is consistent with the development direction of machine learning itself. Therefore, this paper proposes a business management informatization construction method based on a machine learning algorithm, which aims to further promote the development of enterprises in the direction of informatization and modernization and improve the informatization level of enterprises. Experiments show that with the support of machine learning technology, the level of enterprise business management informatization can reach 82.31%, fully indicating that machine learning can help enterprises innovate management models and improve the level of information management of enterprises.