Abstract
Currently, the field of engineering management is experiencing rapid development and has become a significant force in promoting economic and social growth. Due to its complexity, creativity, systematization, and risk characteristics, the field of engineering management presents individuals with significant technical needs and processing difficulties. Big data has achieved significant advancements in the engineering management field due to its characteristics, including large data volumes, various types, and predictability. By utilizing big data, a sizable amount of engineering data can be rapidly analyzed and optimized for design solutions, resulting in improved efficiency and increased accuracy in decision-making while also reducing costs. However, the role of big data in engineering management is limited by issues such as data insecurity, low quality, and a shortage of professionals. This paper proposes solutions to address these challenges, including strengthening data security, enhancing data quality control, and improving personnel training and technological innovation.
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