Application and Practice of Big Data Technology in Financial Management

Abstract

In the era of accelerating digital economy penetration, big data technology is reshaping traditional corporate financial management models through its core advantages of massive data processing, in-depth data analysis, and precise trend forecasting. This paper focuses on the application value and practical approaches of big data technology in financial management. Through systematic analysis of four core modules, budget management, cost control, risk management, and investment/financing decisions, the study examines application scenarios and implementation effects of big data technology. Addressing current challenges such as insufficient technical compatibility, data security risks, and talent shortages in enterprise applications, targeted optimization strategies are proposed. Practical case studies from enterprises of varying scales demonstrate the practical significance of big data technology in enhancing financial management precision and strengthening corporate value creation capabilities. The research indicates that big data technology drives the transformation of financial management from accounting-oriented to strategy-oriented, providing crucial support for efficient operations in complex market environments. Establishing a comprehensive technical application system, strengthening data governance, and cultivating talent reserves are key to enabling enterprises to fully leverage big data in financial management.