针对现有的数据存储，利用SOA规范化数据模型和SOA规范化消息模型之间的映射，定义数据质量分析目标。
Mapping between the SOA canonical data model and the SOA canonical message model against the existing data stores can be leveraged to define potential data quality analysis targets.
为支持实现这两个目标，我们需要高质量基线数据并定期监测情况变化。
Good baseline data and regular monitoring of changes are needed to support both of these objectives.
用于执行数据质量分析的资源和时间是有限的，而最终目标是交付拥有支持SOA功能的数据的SOA服务。
Resources and time in which to perform data quality analysis are limited, and the ultimate goal is the delivery of the SOA services with data that supports the SOA functionality.
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