信息是从入站事件所携带的数据中提取的，并包含在指标、计数器和秒表中，这些信息表示监视上下文所收集的业务度量。
The information is extracted from the data carried by inbound events, and is held in metrics, counters, and stopwatches, which represent the business measures that a monitoring context collects.
定量管理级：过程通过统计数据被控制和度量，因此结果在数量上是可预测的。
Quantitatively managed: the process is controlled and measured by statistical data, and outcomes are therefore quantitatively predictable.
该模型包含流程及其子流程中的所有已定义的业务度量(指标、KPI、计数器和秒表)。
The model contains all the defined business measures (metrics, KPIs, counters, and stopwatches) in the process as well as its subprocesses.
其他所有工作(性能度量、统计数据计算和结果报告)都会自动完成。
Everything else - performance measurements, statistical calculations, and the result report - occurs automatically.
识别、定义、分类并比较连续的(计量数据)和离散的数据(计数数据)，并且识别把计数数据转变为计量数据度量的机会。
Identify, define, classify, and compare continuous (variables) and discrete (attributes) data, and recognize opportunities to convert attributes data to variables measures.
识别、定义、分类并比较连续的(计量数据)和离散的数据(计数数据)，并且识别把计数数据转变为计量数据度量的机会。
Identify, define, classify, and compare continuous (variables) and discrete (attributes) data, and recognize opportunities to convert attributes data to variables measures.
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