Since the twentieth century, it has been an era of rapid development of information technology; the scale of data is almost the growth rate of the blowout type; no matter what it is, a large number of enterprises or departments are increasing a large number of cost data. However, the current cost management model still remains in the traditional management method and lacks a smarter big data analysis method. In addition, there is a lot of research on big data applications, and there are few e-commerce supply chains. Therefore, the research purpose of this study is to use big data technology to explore a series of practical operation methods for supply chain Cultural Communication Enterprises and summarize the operation mode of building SCC control by using big data technology. In terms of research methods, this study combined bibliographic review and empirical analysis, explored cost-based mobile e-commerce (EU) cost control related to big data information, used smart and digital analysis methods to thoroughly analyze CCE business issues from internal and external supply chains, established an e-commerce business supply chain cost control model based on big data technology and elaborated cost control procedures and measures. Finally, it summarized the research results and drew conclusions to provide a theoretical basis for promoting enterprises products products to reduce supply chain costs. The research in this study has achieved a breakthrough in the cost management and control of EE; it provides empirical guidance and theoretical reference for EE to adopt big data technology for cost command of supply chain (CCSC), could help EE to reduce cost of supply chain management to gain higher profit margins, and promote e-commerce industry as a whole to the next level eventually. This study concluded that the use of big data technology for cost command can solve a series of problems effectively, such as the lack of systematic analysis of cost, the lack of contractual partners, the serious waste of sales links, and the policy errors of logistics links, and continuously improve the enterprise management level and the decline of comprehensive cost. The application mode of supply chain CCE enterprises using big data technology constructed in this study has universal applicability.

中文翻译：

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大数据背景下的电子商务企业供应链成本控制

自二十世纪以来，这是信息技术飞速发展的时代。数据规模几乎是井喷型增长率。无论是什么，大量的企业或部门都在增加大量的成本数据。但是，当前的成本管理模型仍然保留在传统的管理方法中，并且缺乏更智能的大数据分析方法。此外，关于大数据应用的研究很多，电子商务供应链也很少。因此，本研究的研究目的是利用大数据技术探索供应链文化传播企业的一系列实用操作方法，并总结大数据技术构建SCC控制的操作模式。在研究方法上，这项研究结合了书目审查和实证分析，探索了与大数据信息相关的基于成本的移动电子商务（EU）成本控制，使用智能和数字分析方法从内部和外部供应链中全面分析了CCE业务问题，大数据技术的电子商务商业供应链成本控制模型，并详细阐述了成本控制程序和措施。最后，对研究成果进行了总结并得出结论，为推广企业产品，降低供应链成本提供理论依据。本研究的研究在电子电气设备的成本管理和控制方面取得了突破。它为EE采用大数据技术进行供应链成本控制提供了经验指导和理论参考，可以帮助EE降低供应链管理成本以获得更高的利润率，并最终将整个电子商务行业提升到一个新的水平。这项研究得出的结论是，使用大数据技术进行成本控制可以有效解决一系列问题，例如缺少对成本的系统分析，缺少合同合作伙伴，严重浪费销售环节以及物流政策错误等。环节，不断提高企业管理水平和综合成本的下降。本研究构建的使用大数据技术的供应链CCE企业的应用模式具有普遍适用性。这项研究得出的结论是，使用大数据技术进行成本控制可以有效解决一系列问题，例如缺少对成本的系统分析，缺少合同合作伙伴，严重浪费销售环节以及物流政策错误等。环节，不断提高企业管理水平和综合成本的下降。本研究构建的使用大数据技术的供应链CCE企业的应用模式具有普遍适用性。这项研究得出的结论是，使用大数据技术进行成本控制可以有效解决一系列问题，例如缺少对成本的系统分析，缺少合同合作伙伴，严重浪费销售环节以及物流政策错误等。环节，不断提高企业管理水平和综合成本的下降。本研究构建的使用大数据技术的供应链CCE企业的应用模式具有普遍适用性。