Data profiling is not magic — it helps bring data quality issues to light, but you still need a data or business analyst or subject matter expert to review results and draw appropriate conclusions.
数据概要分析并不神奇——它帮助揭示数据质量问题，但是仍然需要一个数据或业务分析师或者主题专家来对结果加以评价，并得出适当的结论。
A business domain expert or analyst USES the basic profile which illustrates the business tasks as sequences of activities, while the rest of the model information is captured as documentation.
业务领域的专家或分析员使用初级配置文件，它将业务任务作为活动序列，而其余的模型信息作为文档来获取。
Rather, data mining is used to point out data records that deserve a closer look by a human analyst or expert who must then decide whether to take action or not.
相反，数据挖掘用于指出有待分析师或专家进一步分析的数据记录。然后，析师或专家以此为依据决定是否采取行动。
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