Design and Implementation of Data-Driven Financial Decision Support System

The design and implementation of financial decision support systems can provide more accurate, comprehensive and real-time decision support through data-driven methods, helping organizations make informed financial decisions in an uncertain economic environment. This study explores the design and implementation of a financial decision support system based on a data-driven approach. By collecting a large amount of financial data, including financial statements, market data and other related data, and using data analysis and modeling techniques to process and mine the data, this article develops a prototype of a financial, decision support system to visualize data analysis results and, provide real-time decision support. Experimental tests show that the financial decision-making accuracy of this article is between 87% and 98%, which can provide comprehensive, accurate and real-time financial information to help decision-makers better understand and analyze financial conditions and trends.