摘要
数据资产价值评估是现代数据资产管理和运营以及数据流通的基础。基于数据全生命周期理论,从第一性原则出发,通过评估单张数据资产表的成本、数据管理以及数据应用价值,实现对单张数据资产表的系统性评估。利用数据仓库和图算法等技术,以层为单位,每层分摊,血缘路径继承,精确计算得到单张数据资产表的成本价值;然后利用层次分析法得到数据资产非经济因素权重,进而得到数据资产阶梯价值;最后通过实例分析验证了新方法的合理性和可行性。
Data asset valuation is the foundation of modern data asset management,operation,and data circulation.Based on the theory of the data full lifecycle,starting from first principles,single data asset table was evaluated by assessing their cost,data management,and data application value.Using technologies such as data warehousing and graph algorithms,the cost value of a single data asset table was accurately calculated by using a layer-by-layer allocation method and inheriting the lineage path.Then,the non-economic factor weight of data asset was obtained by using the analytic hierarchy process,and the value of data asset was obtained through a ladder evaluation.Finally,verifies the rationality and feasibility of the new method was verified through an example.
作者
李冬青
刘吟啸
邓镭
李铭洋
LI Dongqing;LIU Yinxiao;DENG Lei;LI Mingyang(Alibaba Group,Shanghai 200120,China)
出处
《大数据》
2023年第3期39-55,共17页
Big Data Research