Research on the Optimization of Cost Control Mechanism for E-Commerce Enterprises from the Perspective of Data Value Chain—Based on the Analytical Framework of Industry-Finance Integration

在数据信息激增的数字化转型时代，涵盖数据的生成、获取、分析解读及价值提取的系统化流程，已经成为企业优化成本和增加收入的核心手段。在此背景下，数据价值链(Data Value Chain)的概念应运而生。该理论以系统化整合数据生命周期的活动为框架，构建了企业从原始数据到商业价值的转化路径。本研究主要聚焦于电子商务领域，在数据价值链的视角下，系统地剖析当前企业成本控制机制存在数据采集冗余导致的资源浪费、分析能力不足引发的决策滞后，与价值转化断层造成的利润流失的三个关键问题，并提出数据筛选优化、算法模型升级和商业闭环构建的三维优化的策略建议。In the era of digital transformation marked by the surge of data information, the systematic process covering data generation, acquisition, analysis and interpretation, as well as value extraction, has become the core means for enterprises to optimize costs and increase revenues. Against this backdrop, the concept of Data Value Chain emerged. Taking the systematic integration of activities in the data life cycle as the framework, this theory constructs a transformation path for enterprises from raw data to commercial value. This study mainly focuses on the e-commerce field. From the perspective of the data value chain, it systematically analyzes three key issues existing in the current cost control mechanism of enterprises: resource waste caused by redundant data collection, decision-making lag triggered by insufficient analysis capabilities, and profit loss resulting from value conversion faults. It also proposes three-dimensional optimization strategies of data screening optimization, algorithm model upgrading, and business closed-loop construction.