摘要
随着大数据、云计算等信息技术的发展,企业已经从过去的“粗放式”运营转变为当前注重数据分析的“精细化”运营。为了有效利用商务数据,可使用数据分析技术帮助企业获取、整理和处理海量数据,为企业的经营决策提供积极、高效的帮助。现以一家处于亏损状态的小型口罩工厂为分析对象,使用Python语言并通过明确目标、数据处理、数据分析、数据展现和报告撰写的步骤完成口罩厂历史数据分析的整个流程,从而帮助口罩厂探寻亏损问题的根本原因以及下一阶段的经营发展趋势,并为口罩厂的未来发展模式提供相关建议。
With the development of information technology such as Big Data and cloud computing,enterprises have changed from“extensive”operations to“refined”operations that focus on data analysis.In order to effectively utilize business data,data analysis technology can be used to help enterprises obtain,organize and process massive amounts of data,providing positive and efficient assistance for business decision-making.This paper takes a small mask factory which is in a loss making state as the analytic target.It uses Python language and completes the entire process of historical data analysis for the mask factory through clear goals,data processing,data analysis,data presentation and report writing,so as to help the mask factory explore the root cause of the loss problem of the mask factory and business development trends of the next stage.And it provides relevant suggestions for the future development mode of the mask factory.
作者
梁琛
马天鸣
LIANG Chen;MA Tianming(Shanghai Aurora College Co.,Ltd.,Shanghai 201908,China;College of Electronic and Electrical Engineering,Shanghai University of Engineering Science,Shanghai 201620,China)
出处
《现代信息科技》
2024年第3期99-102,共4页
Modern Information Technology
基金
2022年上海震旦职业学院校级科研创新项目(SHZD2022011)
国家自然科学基金资助项目(61601296)。
