摘要
探讨了大数据技术在推动工业经济创新、优化产业结构、提升决策质量和生产效率方面的关键作用,分析了大数据理念的内涵及其对工业经济体系的深刻影响,讨论了在此背景下工业经济体系建设面临的挑战与机遇,提出了一系列针对性的策略和建议,旨在加强数据安全、人才培养、数据整合与标准化,以及推动数字化转型,以期加速现代工业经济体系的建设。
This paper discusses the key role of big data technology in promoting industrial economic innovation,optimizing industrial structure,and improving the quality of decision-making and production efficiency through case studies.The article firstly analyzes the connotation of the concept of big data and its profound impact on the industrial economic system,and then discusses the challenges and opportunities facing the construction of the industrial economic system in this context.On this basis,a series of targeted strategies and recommendations are put forward,aiming to strengthen data security,talent cultivation,data integration and standardization,as well as to promote digital transformation,with a view to accelerating the construction of a modern industrial economic system.
作者
隋然
Sui Ran(School of Economics and Management,Harbin Normal University,Harbin Heilongjiang 150000,China)
出处
《现代工业经济和信息化》
2024年第9期91-92,95,共3页
Modern Industrial Economy and Informationization
关键词
大数据
工业经济体系
数据安全
人才培养
数字化转型
big data
industrial economic system
data security
talent training
digital transformation
