将数据质量度量指标应用到来自已识别的数据存储的数据上，以确定数据质量级别。
Apply data quality metrics to data from identified data stores to ascertain data quality levels.
在识别出的数据元素上应用数据质量度量，以评估当前的标准化和匹配支持，将这些结果转换为业务术语。
Apply data quality measures to identified data elements to assess current standardization and matching support and translate these results to business terminology.
同样地，通过比较版本间的性能数据，他们可以评估出所使用的质量度量是否带来了实际的性能改善。
Likewise, by comparing performance data from release to release, they can assess whether the quality measures they applied resulted in real improvements.
测试产生的一个非常普通的数据类型是缺陷，它通常是质量度量方法的来源。
A very common type of data produced by testing, one which is often a source for quality metrics, is defects.
通过使用图形方法与数字方法的合并，我们就能够对数据集作出其他的质量度量了。
By using a combination of graphical and numerical methodologies, we are able to make additional qualitative assessments on the dataset.
通过使用图形方法与数字方法的合并，我们就能够对数据集作出其他的质量度量了。
By using a combination of graphical and numerical methodologies, we are able to make additional qualitative assessments on the dataset.
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