Research on the Application of Big Data in the Comprehensive Budget Management System of Enterprises under the Background of Business-Finance Integration: A Case Study of Supply Chain Optimization in Watsons Group

Abstract

This paper explores the application of big data technology in modern enterprise comprehensive budget management, particularly how big data can improve the budget preparation, execution and monitoring processes to enhance decision-making quality and business efficiency. Through case analysis, the paper delves into how Watson Group has utilized big data technology to optimize its supply chain management, thereby reducing costs and improving the accuracy and timeliness of budget preparation. The research finds that big data not only enables real-time data analysis for enterprises but also enhances their responsiveness to market changes through predictive models and trend analysis, thereby optimizing resource allocation and risk management. However, the implementation of big data also faces challenges such as data quality, technical difficulties and organizational culture adaptation. The paper suggests that while promoting the application of big data, enterprises should strengthen data security measures, cultivate professional talents, and ensure the smooth integration of technology and business processes through effective change management. Through these strategies, enterprises can better leverage big data technology to improve the overall efficiency of comprehensive budget management and achieve sustainable development.