With the rapid development of the digital economy, big data technology has become a key support for enterprises to improve their management and operation levels. Enterprises continuously accumulate massive data in various aspects such as production, marketing, supply chain management, customer service, and strategic planning, providing rich information sources for scientific decision-making. By collecting, storing, analyzing, and mining data, managers can have a clearer understanding of market dynamics, make correct judgments on business risks, and predict future trends, thereby improving the efficiency of resource allocation and the level of business management. Currently, the application of big data technology in enterprise business decision-making is becoming increasingly deep, but there are still problems such as an incomplete data governance system, inconsistent data quality, a lack of professional talents, and data security risks, which restrict the maximization of the value of the technology. This article, based on the development background of enterprise digital transformation, analyzes the application value of big data technology in business decision management, discusses the current application status and existing problems, and proposes practical paths such as improving data governance, optimizing decision-making mechanisms, strengthening talent cultivation, and promoting digital integration, in order to provide references for enterprises to enhance their scientific decision-making capabilities and achieve high-quality development.