Data Mining and Intelligent Decision-Making in Digital Accounting Information Management Systems

As enterprises expand and transaction data grows, accounting information management systems face increasing challenges in managing large volumes of data. Data mining technology, as a robust data processing and analysis tool, enables the extraction of valuable information from large datasets, forming a strong basis for enterprise decision support. So, this paper proposes an artificial intelligence-based decision-making model that is able to simulate the human decision-making process, help enterprises deal with complex financial problems automatically, and improve the speed and accuracy of decision-making. This paper discusses the application of data mining techniques in financial data analysis, risk assessment, and prediction within accounting information management systems. It explores how intelligent decision-making models can transform data mining results into actionable decision-making insights. Empirical results show that the proposed model offers innovative ideas and methods for advancing accounting information management, promotes the intelligent transformation of enterprise accounting systems, and enhances the competitiveness and market adaptability of enterprises.