Design and Implementation of Data-Driven Financial Decision Support System
2024 Third International Conference on Distributed Computing and Electrical Circuits and Electronics (ICDCECE)(2024)
Abstract
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.
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Key words
financial decision support system,system design and implementation,data-driven,data exploratory analysis
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