Some of the tools allow you to troubleshoot a performance problem quickly while others capture data for historical trending and analysis.
一些工具支持快速诊断性能问题，而另一些工具则捕获历史趋势和分析数据。
The most important design issue for hosting fast-update historical data is the performance.
存储快更新历史数据最重要的设计问题就是性能。
Analytical data is related to, for instance, a customer's behavior and performance from historical and future perspective.
分析性数据有助于从历史和未来的角度分析客户的行为模式和绩效。
These tools enable you to quickly troubleshoot a performance problem and to capture data for historical trending and analysis.
这些工具允许您快速地对性能问题进行故障排除，并获取相关的数据以便进行历史趋势研究和分析。
These tools allow you to quickly troubleshoot a performance problem and to capture data for historical trending and analysis.
这些工具允许您快速地对性能问题进行故障排除，并获取相关的数据以便进行历史趋势的研究和分析。
Historical data makes it easy to analyze past problems or to compare performance over a period of time (for example, this week vs. last week).
历史数据使得分析过去问题或对一段时间内性能情况的比较(比如，本周与上周的对比)变得很简单。
These tools enable you to troubleshoot a performance problem quickly and capture data for historical trending and analysis.
这些工具能使您快速对性能问题进行故障排除，并获取相关的数据以便进行历史趋势研究和分析。
Most of these tools allow you to troubleshoot a performance problem quickly and capture data for historical trending and analysis.
其中的大多数工具都允许快速地进行故障排除，并捕捉用于历史趋势研究和分析的数据。
These tools allow you to troubleshoot a performance problem quickly and capture data for historical trending and analysis.
这些工具允许您快速地对性能问题进行故障排除，并捕捉相关的数据以便进行历史趋势的研究和分析。
Most of these tools allow you to both quickly troubleshoot a performance problem and capture data for historical trending and analysis.
其中的大多数工具都允许您快速地进行故障排除，并获取相关的数据以便进行历史趋势研究和分析。
Some of the tools allow you to quickly troubleshoot a performance problem and others capture data for historical trending and analysis.
其中一些工具允许您快速地对一个性能问题进行故障排除，而其他一些工具则允许您为进行历史趋势研究和分析捕获相关的数据。
These tools allow you to quickly troubleshoot a performance problem and capture data for historical trending and analysis.
这些工具都允许您快速地进行故障排除，并获取相关的数据以便进行历史趋势研究和分析。
Quickly explore data, evaluate models, test assumptions and compare current performance with historical actuals and external benchmarks using drill-down and multidimensional cube slicing-and-dicing .
细分和多维板块可帮助您在几分钟内完成数据查找、模型评估和假设测试工作。 您可将现在的绩效与以前的绩效和外部基准数据进行比较。
Leverage historical data in the performance warehouse to analyze trends, and plan for growth.
利用性能数据仓库中的历史数据分析趋势并为增长制定计划。
Ensure rule changes meet business objectives by running simulations against either historical or test data, assessing the results against key performance indicators (KPIs) and what-if scenarios.
使用历史或测试资料执行模拟，评估关键绩效指标(KPI)及假设情境的结果，以确实变更符合业务目标。
The sample provided with this article displays Key Performance Indicator (KPI) historical data in a Flex widget deployed in Business Space.
本文提供的示例将在部署在BusinessSpace 中的Flex小部件中显示关键性能指标（Key Performance Indicator，KPI）历史数据。
Performance Expert also offers multiple historical views of performance data.
PerformanceExpert还提供了性能数据的多个历史视图。
From the three data collectors offered in Performance Tester, only ITM is capable of collecting historical data.
在Performance Tester中提供的三个数据收集器中，只有ITM能够收集历史数据。
Performance Warehouse saves historical monitoring data consisting of DB2 snapshot data, DB2 event monitor data, and configuration data over a long period of time (long-term history).
PerformanceWarehouse保存的历史监控数据由较长时间的(长期历史)DB 2快照数据、DB2事件监控数据和配置数据组成。
Then on Monday morning, you work with the DB2 application developers and use performance Expert's short-term historical data to pinpoint the performance problem in development.
然后在下周一早上，您与DB 2应用程序开发人员合作，并使用PerformanceExpert的短期历史数据来确定开发中的性能问题。
Among these, it is very important to store and query the historical data, which is mainly used to improve the technology process, device performance maintenance and trouble diagnoses.
其中，历史数据的存储和查询是工业组态软件不可或缺的部分，它主要服务于工艺流程的改进、设备性能的维护以及故障原因的诊断。
The existing performance evaluation indexes are mostly based on one or more historical statistical data, and the combination of intuition with data analysis is often ignored.
已有的业绩评价指标多依据一个或多个历史统计数据，往往忽视直觉与数据分析相结合。
The existing performance evaluation indexes are mostly based on one or more historical statistical data, and the combination of intuition with data analysis is often ignored.
已有的业绩评价指标多依据一个或多个历史统计数据，往往忽视直觉与数据分析相结合。
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