【摘要】 为了正确客观地评价企业的数据治理水平,本文提出了基于证据分组合成的企业数据治理评价模型.首先,构建数据治理评价指标体系并确定指标权重.其次,为了解决证据合成过程中易出现的"一票否决"和证据冲突问题,本文分别采用了语言评语集,以及一种改进的同时考虑证据源权重和证据体间差异的证据分组方法.然后,进行组内和组间的证据合成得到最终的评价结果.最后,本文以H商业银行为例进行实证分析,验证了该改进方法的可行性和实用性.更多还原

【Abstract】 In order to properly evaluate the level of data governance in enterprises,a data governance evaluation model based on a grouping method for combining evidence was proposed.Firstly,the evaluation index system of data governance is built and the indexes weights are determined.Secondly,in order to solve the "0 absolutization" problem and reduce the conflict of evidence,language evaluation sets and evidence grouping methods are used in this research.Then,the final results are gotten by combining the evidence twice within a group and between groups.Finally,the data governance of H commercial bank was selected to experiment.Empirical results verified the effectiveness and practicality of the proposed method.更多还原