摘要
在大数据深度赋能产业转型的背景下,饲料企业经济业务活动的局限性日益凸显,面临着从运营模式到价值创造的系统性挑战。文章首先阐释大数据的基本内涵,并以此为基础深入分析大数据对饲料企业经济业务活动的影响,明确其变革的迫切需求与核心方向。随后从实践层面提出针对性的变革思路,涵盖信息闭环构建、战略决策优化、数据互联互通、商业生态拓展及数据安全保障等关键环节,着力解决市场响应滞后、资源配置效率不高、风险预判能力不足等问题,助力饲料企业突破发展瓶颈。通过构建科学高效的经济业务活动体系,切实提升企业市场竞争力,推动饲料企业实现可持续发展。
Against the backdrop of big data deeply empowering industrial transformation,the limitations of economic business activities in feed enterprises are increasingly prominent,and they are facing systematic challenges ranging from operational models to value creation.This article first clarifies the connotation of big data and then deeply analyzes the impact of big data on the economic business activities of feed enterprises,clarifying the urgent need for change and the core direction.Then,from a practical perspective,it proposes targeted transformation ideas,covering key links such as information closed-loop,strategic decision-making,data interconnection and interoperability,business ecosystem,and data security,aiming to focus on problems such as lagging market response,inefficient resource allocation,and insufficient risk prediction,helping feed enterprises break through development bottlenecks,and improve market competitiveness through scientific and efficient economic business activities,promoting the sustainable development of feed enterprises.
作者
郭辰希
GUO Chenxi(College of Business and Trade,Henan Industry and Trade Vocational College,Zhengzhou,Henan Province 450000,China)
出处
《中国饲料》
北大核心
2025年第22期89-92,共4页
China Feed
关键词
大数据
饲料企业
经济业务活动
供应链
变革思路
big data
feed enterprises
economic business activities
supply chain
change mindset
