Research on Data Quality Assessment Model in the Context of Digital Economy

在数字经济蓬勃发展的背景下，数据不仅成为新型生产要素，也在产业升级、智能决策和公共治理中发挥着重要作用。数据质量作为影响数据价值释放的关键因素，正受到广泛关注。本文基于层次分析法与熵权法，构建了涵盖准确性、完整性、冗余性和时效性的多维度数据质量评估模型，实现了数据质量的量化分析。研究结果表明，准确性和时效性是提升数据整体价值的关键因素。基于此，本文提出应在数据管理过程中优先关注关键维度的质量保障，从而提升数据利用的有效性与效率。Against the backdrop of a booming digital economy, data has not only become a new type of production factor, but also plays an important role in industrial upgrading, intelligent decision-making and public governance. Data quality, as a key factor affecting the release of data value, is receiving widespread attention. Based on hierarchical analysis and entropy weight method, this paper constructs a multi-dimensional data quality assessment model covering accuracy, completeness, redundancy and timeliness, and realizes the quantitative analysis of data quality. The research results show that accuracy and timeliness are the key factors to enhance the overall value of data. Based on this, this paper proposes that priority attention should be given to the quality assurance of key dimensions in the data management process, so as to enhance the effectiveness and efficiency of data utilization.