电商企业数据资产管理困境及策略研究

Research on the Dilemma and Strategy of Data Asset Management of E-Commerce Enterprises

摘要: 随着数字经济的深入发展，数据已成为驱动企业创新和提升核心竞争力的关键生产要素。电商企业作为典型的数据密集型产业，其业务全链路产生的海量多源异构数据蕴含着巨大的商业价值。然而，当前电商企业在数据资产管理过程中面临数据治理基础薄弱、技术架构滞后与人才储备不足、安全与合规风险剧增、数据资产价值转化困难等多重困境。本文通过系统分析电商企业数据资产管理的困境，结合行业实践提出针对性优化策略，旨在为电商企业构建科学的数据资产管理体系提供理论支撑和实践指导。

Abstract: With the in-depth development of the digital economy, data have become a key production factor driving enterprise innovation and enhancing core competitiveness. As a typical data-intensive industry, e-commerce companies have huge commercial value in the massive multi-source heterogeneous data generated by their business links. However, e-commerce enterprises are currently facing multiple difficulties in the process of data asset management, such as weak data governance foundation, lagging technical architecture and insufficient talent reserves, increasing security and compliance risks, and difficulties in transforming the value of data assets. This paper systematically analyzes the dilemma of data asset management of e-commerce enterprises and puts forward targeted optimization strategies based on industry practice, aiming to provide theoretical support and practical guidance for e-commerce enterprises to build a scientific data asset management system.