Abstract: The integration of new-generation information technology and manufacturing industry has promoted the rapid development of industrial digital economy,and there is a strong demand for transformation and upgrading of traditional manufacturing enterprises.As a strategic asset of manufacturing enterprises,the intrinsic value mining of data has become the driving force of transformation and upgrading.Taking data management as the core,it was proposed to divide the digital transformation of manufacturing enterprises into four development stages:extensive management based on labor,digital management based on information technology,big data management based on industrial internet,and intelligent management based on new-generation artificial intelligence.In view of the big data era at this stage,the new connotation of digital transformation was illustrated from the dimensions of driving factors,concept transformation and basic characteristics.On this basis,the architecture and key technologies were discussed from the perspective of data life cycle.The development directions were given to promote the digital transformation of manufacturing enterprises.

Key words: enterprise management, digital transformation, big data, data assets, data governance, knowledge graph

摘要： 新一代信息技术与制造业的融合推动了工业数字经济的快速发展,数据已经成长为制造企业重要的战略资产,数据的价值挖掘与利用成为当前企业数字化转型升级的重要驱动力。以数据管理为核心,提出将制造企业数字化转型划分为基于人工的粗放式管理、基于信息技术的数字化管理、基于工业互联网的大数据管理,以及基于新一代人工智能的智能化管理等四个发展阶段。从驱动要素、理念转变和基本特征等多个维度,阐述了当前大数据时代制造企业数字化转型的新内涵,在此基础上从数据全生命周期视角,探讨了数字化转型的体系架构及关键技术体系,最后指出了当前制造企业推进数字化转型的发展方向。

关键词: 企业管理, 数字化转型, 大数据, 数据资产, 数据治理, 知识图谱