Office 365 数据Office 365 data
作为管理员或分析师，你可以使用此页面确认你的 Office 365 数据是最新的。As an admin or an analyst, you can use this page to confirm that your Office 365 data is up-to-date. 使用此页面查找在活动中具有意外间隙、不一致或降级的数据或活动级别高于或低于您的组织可能被视为正常的活动级别的日期范围。Use this page to look for date ranges that have unexpected gaps in activity, inconsistent or degraded data, or activity levels that are higher or lower than what might be considered normal for your organization.
此页包含以下类型的数据。This page includes the following types of data.
度量员工：在安装过程中，工作区分析管理员为其分配了许可证的员工。Measured employees: The employees to whom your Workplace Analytics administrator assigned licenses during setup. 在许可证分配后，工作区分析提取有关这些人员的会议、电子邮件、非计划调用和即时消息的 Office 365 数据。After license assignments, Workplace Analytics extracts Office 365 data about meetings, email, unscheduled calls, and instant messages for these people. 当这些员工的数据提取过程成功时，它们将包括在您的衡量的总体中。When the data extraction process is successful for these employees, they are included in your measured population. 如果出现提取错误，并且工作区分析未获取个人的数据，则该人员已获得授权，但不计为工作区分析中的度量员工。If extraction errors occur and Workplace Analytics didn't get data for a person, that person is licensed but not counted as a measured employee in Workplace Analytics. 如果您是分析家或有限的分析师，则可以在工作区分析中进行分析。If you are an analyst or limited analyst, this is the population that you can analyze within Workplace Analytics. 衡量的员工数可帮助确定您是否有正确的数据覆盖率进行分析。The number of measured employees can help determine whether you have good data coverage for analysis.
管理员可以将员工工作区分析许可证分配为 Azure Active Directory (AAD) 的组。Your admin can assign employees Workplace Analytics licenses as a group with Azure Active Directory (AAD). 如果此号码看起来不准确，请与管理员确认仅有活动的员工通过 AAD 分配了许可证。If this number seems inaccurate, confirm with your admin that only active employees are assigned licenses through AAD. 有关更多详细信息，请参阅 分配许可证。For more details, see Assign licenses.
内部协作者：这些是不可测量员工，其中包括在与 衡量 的员工合作的 Office 365 数据的提取中。Internal collaborators: These are unmeasured employees who were included in extractions of Office 365 data with whom the measured employees collaborated. 这些人员不属于您衡量的总体，而是您组织的内部人员。These people are not part of your measured population but are internal to your organization. 内部协作者可以包括与团队合作的其他组、供应商或合同工的员工，它们与团队在相同的内部域中，而不是在您的衡量总体中提供。Internal collaborators can include employees from other groups, vendors, or contractors that are working with your team and are included in the same internal domain as your team, but are not in your measured population.
外部协作者：这些人员是你的公司之外的人员或与你衡量员工合作的电子邮件域外部的人员。External collaborators: These are people outside of your company or external to your email domain with whom your measured employees collaborated. 有关外部协作的详细信息，请参阅 external 协作。For more information about external collaboration, see External collaboration.
平均每周协作图表：此图显示按类型进行测量的员工的上次刷新时间（按类型），其中包括在电子邮件、会议、未计划的呼叫和即时消息上花费的工时数。Average weekly collaboration chart: This chart shows the last refreshed on weekly collaboration hours for measured employees by type, which can include hours spent on email, in meetings, in unscheduled calls, and on instant messages. 上次刷新日期显示最近为此图表处理 Office 365 Exchange 和团队数据的时间。The Last refreshed date shows when Office 365 Exchange and Teams data was most recently processed for this chart.
将光标悬停在图表数据上以获取更多详细信息，并使用图表图例更改图表中) 的 (会议、电子邮件、即时消息和调用的数据。Hover your cursor over the chart data to get more details and use the chart legend to change what data (meetings, email, instant messages, and calls) the chart shows.
数据的源计数Origin of data counts
" 数据源 > Office 365 数据 " 页面显示三个数据类别的当前计数。The Data sources > Office 365 data page shows the current count of three categories of data. 大多数数据都是由组织中的人员、可能有也可能不具有 Workplace Analytics 许可证的人员所组成。Most of this data originates with people in your organization, people who might or might not have Workplace Analytics licenses. 但某些数据来自组织外部，而其他数据仍来自其他类型的邮箱。But some data originates outside of your organization, and still other data comes from mailboxes of other types.
确定数据的来源也决定了如何对其进行分类，如以下流程图所示：Determining the origins of data also determines how to categorize it, as shown in the following flow chart:
下面的屏幕截图显示了其中的每个数字显示在 " Office 365" 数据 页上的位置：The following screenshot shows where each of these numbers appears on the Office 365 data page:
数据不一致的可能原因Possible causes of inconsistent data
以下是可能会在电子邮件、会议、通话和即时消息数据量中遇到不一致情况的示例。The following are examples of where you might encounter instances of inconsistency in the volume of email, meetings, calls, and instant messages data.
主要假日：电子邮件和围绕主要假日的会议活动是典型的，并且可能会影响分析。Major holidays: Drops in email and meeting activity around major holidays is typical and can potentially impact analysis. 您可以从输出中删除这些周，以减少其影响。You can remove these weeks from your outputs to reduce its impact.
电子邮件存档策略：业务策略可能会影响初始安装期间处理的历史数据。Email archive policies: Business policies can impact historical data processed during initial setup. 查看历史数据时，如果您在电子邮件和/或会议活动中看到稳定的拒绝或时间点下拉，则可能是由于存档造成的。As you view historical data, if you see a steady decline or point-in-time drop-off in email and/or meeting activity, it might be due to archiving. 通过使用平均每周协作图表 (请参阅上图) 中，可以选择一个日期范围来分析邮件量稳定的协作数据。By using the Average weekly collaboration chart (see the preceding illustration), you can select a date range to analyze your collaboration data where the mail volume is stable.
定期会议：从日历中删除定期会议系列时，将删除此会议的所有过去实例。Recurring meetings: When a recurring meeting series is removed from a calendar, all past instances of this meeting are removed. 查看历史数据时，如果看到会议活动的持续谢绝，可能是由于定期会议已从日历中删除。As you view historical data, if you see a steady decline in meeting activity, it might be due to recurring meetings having been removed from calendars. 通过使用平均每周协作图表 (请参阅上图) 中，可以选择一个日期范围来分析会议音量为稳定的协作数据。By using the Average weekly collaboration chart (see the preceding illustration), you can select a date range to analyze your collaboration data where the meeting volume is stable.