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设置并保存之后，一个指定的eazyBI账户（usage statistics）将会被创建，并且它具有JIRA系统管理员的权限。我们可以授权访问权限对其它JIRA用户或者JIRA用户组到此eazyBI账户。
A set of default reports and a dashboard of these reports will be created in this account. You can use these reports to see the overview of daily usage, see top executed reports and dashboards, reports with errors or slow reports.
使用统计报告中的一组默认报告和和一个dashboard将会在此账户中创建。我们可以使用这些报告查看每天人使用情况，可以查看这些报告和dashboard是出错或者响应过慢的报告。
the same eazyBI user schema on Oracle. Report execution results are cached and the cache is cleared each 10 minutes – so you might see up to 10 minutes old data in your reports
报告的执行数据会存储在指定 的eazyBI的数据库中（mysqk库为：eazybi_jira_dwh_stats on MySQL, PostgreSQL和MS SQL数据库为：dwh_stats；如使用oracle,它会使用eazyBI账户的同一个eazyBI库中）。报告的执行结果会每10分钟缓存一次，因此我们在报告中看到最长时间为10分钟内的旧数据。
By default, 1-year history of usage statistics data is stored. Older usage statistics entries are deleted during the eazyBI startup. You can change how long history is stored by adding an additional setting, for example:
作为默认，存储使用统计数据会在库中保存1年的历史数据，更久的数据会在eazyBi启动的时候删除。我们可以在设置中增加额外的参数配置，来改变这个保存时长。
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You can disable usage statistics by removing the enable line from the settings (or prefixing it with # which will comment this line). When usage statistics are disabled, then you can still view the collected historical usage statistics. If you do not need the history, then the (usage statistics) account can be deleted by the owner of this account.
我们可以通过移除此配置信息，让其不再对使用统计数据进行保存；当使用统计被禁用的时候，我们依然可以看到收集到的历史数据，如果我们也不需要这些数据，那么可以将此账户（usage statistics）删除掉。
Data model
Here is a list of measures and dimensions that are available in usage statistics reports.
在使用统计报告中，以下维度和测试的项是可以使用：
Measures
| Report Executions | A total number of first-time report executions when the report is opened (repeated executions are not counted when users change page selection or do drill actions). |
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| Report Execution Duration | Total first-time report execution time in seconds. Use the Average Execution Duration calculated measure to get the average. |
| Report Execution Errors | A total count of errors during the first-time report executions. Use the Report Execution Errors % calculated measure to see it as a percentage from total executions. |
| Active Users | Unique count of users who used reports according to the selection of other dimensions. |
| Active Accounts | Unique count of eazyBI accounts from which reports were used. |
| Active Reports | Unique count of reports which were used. |
| Active Dashboards | Unique count of dashboards which were used. |
Dimensions
| Account | eazyBI account – name and ID. Click on the dimension member and select Go to source to navigate to the Analyze tab of this account. |
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| User | User – display name and email. |
| Report | Reports grouped by Account, Cube, Folder levels – name and ID. Click on the dimension member and select Go to source to open the report. |
| Dashboard | Dashboards grouped by Account level – name and ID. Click on the dimension member and select Go to source to open the dashboard. |
| Cube Type | Based on the data source – Jira or Custom. |
| Report Type | Table or a specific chart type. |
| Report Location | Where a report was located – Analyze tab, Dashboard, Gadget Dashboard or Gadget Report. |
| Time | Date when a report was executed. The date is based on the Jira server time zone. |
| Hour | Hour of the day when a report was executed (e.g. 10 means that it was executed from 10:00 to 10:59). Hour is based on the Jira server time zone. |
| Week Day | The day of the week when a report was executed. |