Displaying the Instances and KPI views on the dashboard.
在仪表板上显示实例和kpi视图。
These are the KPI search, KPI subscriber, and Alert notifier.
它们分别是KPI搜索、KPI订阅器和警报通知器。
The metrics and KPI values are available for display in a dashboard.
这些指标和kpi值可用于显示在指示板中。
Presentation of metrics and KPI is done using the interaction services.
规格和KPI的表示可以使用交互服务完成。
KPI ranges can be personalized in dashboards based on user preferences.
可以在仪表板中基于用户首选项对KPI范围进行个性化设置。
Combined the best of the Scorecard and KPI views into a single portlet.
将最好的记分卡和KPI视图组合为单个Portlet。
The diagram can be notated, and colors can be changed based on KPI values.
可以对该关系图进行批注，并且其颜色可以基于kpi值而改变。
Add every metric, KPI, measure, and visualization that M1 already has into M2.
将M1中已有的每个指标、KPI、度量和可视化添加到M2中。
For this sample, we'll use an object to store the latest request for each KPI.
对于此示例，我们将使用对象存储每个KPI的最新请求。
Modularise each kpi-perhaps using XSLT to manage the presentation of data.
模块化每个KPI—可以使用XSLT来管理数据的表示。
A feature known as range templates was added for quick definition of KPI ranges.
为快速定义KPI范围添加了称为范围模板的功能。
These constraints correspond to the KPI business measures in the business process.
这些约束同业务过程中的KPI业务量度标准相对应。
You should also be able to see data in the KPI views, when you hover over the KPIs.
您还能够在KPI视图中看到数据（鼠标悬停在 KPI 上时）。
KPI targets and ranges can be updated at runtime based on changing business conditions.
可以在运行时基于更改的业务条件来更新kpi目标和范围。
KPI manager: Use to define, copy, and update KPIs directly from the dashboard interface.
KPI管理器：用于直接从仪表板界面定义、复制和更新kpi。
The KPI data model contains useful constants that are used in accessing the KPI service.
KPI数据模型包含用于访问KPI服务的实用常量。
But don't become a victim of KPI creep - start simple and add more as you get comfortable.
但是不要成为关键绩效指标的牺牲品——先从简单做起，在你自我感觉合适的时候再添加更多的东西。
In this case, each KPI has a unique identifier, which can be used as a key to access the history data.
在这种情况下，每个KPI都具有唯一的标识符，可以作为访问历史记录数据的键使用。
Some tools also support the definition and specification of business key performance indicators (KPI).
有些工具还支持对业务关键业绩指标(Key Performance Indicator,KPI)进行定义和规范。
As shown in Figure 1, the created object model captures the required metrics for the KPI specifications.
如图1，新建的对象模型获取了所需的KPI规范的度量。
Key Performance Indicators (KPI) are measures designed to track the critical success factors of a business.
关键性能指示器(KPI)是为跟踪业务的关键因素的成败而设计的。
You can create a new KPI using an existing KPI definition as a template, or define a new KPI on the fly.
可以使用现有KPI定义作为模板来创建新kpi，或者动态地定义新的KPI。
Predictions of KPI behavior enable improved decision making and faster reaction to problems or opportunities.
对KPI行为的预测可以改进决策的制定，对问题或机会做出更快的响应。
KPI values match values in dimension and report views, possible to drill-down and analyze KPIs dimensionally.
kpi值匹配维度和报告视图中的值，可以在维度上研究和分析KPI。
The volume KPI speaks to the amount of logic or other relevant artifacts that are produced in development.
容积KPI 说明了在开发中生成的逻辑或其它相关工件的总量。
KPI model: the KPI model defines KPI contexts, which group KPIs with their associated triggers and events.
kpi模型：KPI模型定义kpi上下文，这些上下文将KPI与关联的触发器和事件组织在一起。
When you create a new KPI, you can select whether to use one that is predefined, custom, or from KPI library.
创建新的KPI时，您可以选择是使用预定义、自定义的KPI还是从kpi库中进行选择。
In the OTMPS scenario the analyst might define a KPI and add observation points to the corresponding task or process.
在OTMPS场景中，分析师可能定义一个KPI，然后向相应的任务或者流程添加观测点。
With the new scheduled services mentioned earlier, you can control both KPI and cube caching in an efficient manner.
通过前面提到的新增计划服务，可以用有效的方式控制KPI和多维缓存。
Using the KPI History and Prediction functions, you can collect data from a KPI over time and analyze it to see trends.
使用KPIHistory和Prediction功能，您可以随时从KPI上收集数据并对其进行分析以查看趋势。
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