Abstract: Data standardization as the foundation for implementing all digital transformation projects, significantly improving data usability. This article addresses issues such as information silos, application bottlenecks, and quality control arising from non-standardized data in the vehicle manufacturing process. Through practical cases from the manufacturing process, it analyzes problems caused by the lack of data standardization, organizes business processes to generate a data resource catalog, establishes data standards, and updates them to identify methods for data standardization. This study provides automotive manufacturing-related companies with a comprehensive reference, from understanding data standards to implementing executable pathways, offering practical insights for deepening corporate reform and advancing digital transformation.

Key words: data standardization; manufacturing process; data quality; data assets

摘要： 数据标准化是一切数字化转型项目落地的基础，能显著提高数据的可用性。文章针对 整车制造过程中因数据未标准化导致的信息孤岛、应用瓶颈与质量管控问题，通过制造过程 中的实际案例，分析其数据未标准化所带来的问题，梳理业务流程生成数据资源目录、制定 数据标准、更新数据标准，找到数据标准化的方法。研究为汽车制造相关公司提供了从数据 标准认知到可实施路径落地的全面参考，对深化企业改革，推动数字化转型具有现实参考意 义。

关键词: 数据标准化；制造过程；数据质量；数据资产