To find out where the data quality problems originated, a team set "traps" at various points in the data flows that led to the product database.

为了找出数据质量问题的来源，团队在通向生产数据库的数据流中不同的位置上设置 “捕捉器”。

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The process of performing data analysis in the context of a set of SOA requirements is very similar to any data quality initiative.

对于 SOA 项目，执行数据质量分析的过程与其他项目的数据质量分析相似。

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The ability to recall a defined set of test data provides a significant productivity boost, and can help make testing more consistent, adding to message flow quality.

可以再次调用已定义的测试数据，极大地提高了工作效率，并且可以使得测试工作更加一致，提高了消息流质量。

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