数据资产质量评估研究和实践分析

Research and Practical Analysis of Data Asset Quality Assessment

自国家将“数据”列为新型生产要素后,实现数据资产质量的智能评估和闭环式质量管理变得至关重要。本文以数据资产质量评估为主题,通过分析研究数据资产评估和管理现状和挑战,系统探讨数据资产质量评估的原理、方法和模型,并引入了质量调整系数以提高评估结果准确性,以优化数据资产估值理论和方法,落地数据资产质量评估应用试点,推动数据资产价值实现。

Since the country has designated"data"as a new factor of production,it is crucial to achieve intelligent assessment and closed-loop quality management for data asset quality.This article,focusing on data asset quality assessment,analyzes and studies the current status and challenges of data asset assessment and management.It systematically explores the principles,methods,and models of data asset quality assessment,and introduces a quality adjustment coefficient to enhance the accuracy of evaluation results.This aims to optimize data asset valuation theories and methods,carry out data asset quality assessment application pilots,and promote the realization of data asset value.