Abstract
The research on financial planning and budget management methods using big data technology is mainly based on the limitations of traditional financial planning and budget management in processing large amounts of data, real-time analysis, and prediction accuracy. By integrating big data technology, financial planning and budget management can become more dynamic and adaptable. This can enable enterprises to analyze historical data and market trends, and more accurately formulate financial budgets to make the most timely decisions. Through experimental data, it can be concluded that the use in financial planning and budget management can significantly improve the financial efficiency and decision-making quality of enterprises. It can be seen that the budget management effect of the financial planning and budget management system with the addition in the manual review process increased from 53.41% to a maximum of 128.30%, and most of the data was above 114.76%. The accuracy rate of the system's testing plan, improvement success rate, and completely infeasible judgment accuracy were all above 98.35%. It is not difficult to find that enterprises can optimize budget allocation through data-driven methods, better understand market and customer needs, and achieve revenue growth and cost savings, ultimately improving their competitiveness.
Published Version
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