隐私设置Privacy settings

作为工作区分析管理员,使用隐私设置决定组织要从分析中排除哪些数据,以及哪些数据可以在查询和浏览统计数据中显示观看隐私视频,详细了解 Workplace Analytics 如何保留个人数据的私密性。As the Workplace Analytics Admin, you use Privacy settings to decide what data your organization wants to exclude from analysis and what data can be visible in Queries and Explore the stats. Watch the Privacy video to learn more about how Workplace Analytics keeps personal data private.

可以使用隐私设置:You can use privacy settings to:

所有者 – 只有工作区分析管理员具有对此页面的完全访问权限。Owner – Only Workplace Analytics Admins have full access to this page. 有关详细信息,请参阅"将角色分配给 Workplace Analytics 管理员和分析师"。For details, see Assign roles to Workplace Analytics admins and analysts.

管理员隐私设置

更改隐私设置后,更改将在下一周处理完数据后生效。After you change privacy settings, your changes take effect after data is processed in the following week. 这意味着这些更改不会影响已提取的数据。This means that these changes do not affect data that has already been extracted. (例如,用于排除电子邮件、会议和域的隐私设置不会影响反向数据。) (For example, the privacy settings for excluding email, meetings, and domains do not affect data retroactively.)

隐私视频Privacy video

最小组大小Minimum group size

最小组大小规则防止在"浏览统计数据"和"计划"数据中标识人员。The minimum-group-size rule protects people from being identified in Explore the stats and in Plans data. 如果更改此设置,则更改会立即生效。If you change this setting, your change takes effect immediately.

默认的最小组设置为 5, 这是 允许的最小值The default minimum-group setting is five, which is the minimum allowed value. 你可以根据特定组织的隐私要求更改此设置。You can change this setting according to the privacy requirements of your specific organization.

例如,下图左侧的列显示超过最小组设置的组的图表数据。For example, the columns on the left in the following graphic shows chart data for groups that exceed the minimum-group setting. 右侧灰显的列表示人员数少于最小组设置的组的不可用数据。The grayed-out columns on the right represent unavailable data for the groups with fewer people than the minimum-group setting.

条形图,条形图在最小组设置上方和下方

Note

最小组大小规则适用于从 HR 数据(即有关组织的信息)派生的图表,例如特定级别的经理或特定城市的员工。The minimum-group-size rule applies to charts that are derived from HR data, which is information about your organization, such as managers at a specific level or employees in a particular city.

直方图是例外Histogram charts are an exception

对于直方图,最小组大小规则应用方式不同,方法如下:For histogram charts, the minimum-group-size rule is applied differently, in the following ways:

  1. 如果筛选器组太小,则不显示直方图。If the filter group is too small, no histogram appears.

    如果直方图用于其数据的筛选器组低于最小组大小,Workplace Analytics 将完全不显示直方图。If the filter group that the histogram uses for its data is below the minimum group size, Workplace Analytics does not display the histogram at all.

  2. 如果箱填充太小,则仍显示该箱。If the bin population is too small, the bin still appears.

    在直方图中,x 轴由基于平均指标值的箱 (矩形) 组成,y 轴确定其平均指标值将其放在该箱中的人数。In histograms, the x-axis consists of bins (rectangles) that are based on average metric values, and the y-axis determines the number of people whose average metric value puts them in that bin. 这些值不反映组织对人力资源 () 数据。These values do not reflect organizational (HR) data. 因此,直方图仍可以显示回收站的数据,即使其包含的人数少于最小分组设置。So the histogram can still show data for a bin even if it contains fewer people than the minimum-group setting. 直方图可以安全地显示此数据,因为数据基于来自观察行为的计算, 而不是基于 HR 数据Histogram charts can safely show this data because the data is based on calculations from observed behavior, not from HR data.

    即使直方图箱只有一个人的数据,它仍然可以显示该数据。Even if a histogram bin has data for only one person, it can still show that data. 无法将人员单独出来,因为不知道他们属于哪个 HR 组。You cannot single out the person because you don't know which HR group they belong to. (在其他图表(如柱形图)中,某个人员可能可识别低于阈值的组,但在直方图中,人员所属的 HR 组是较大的筛选器组。) 也不能确定特定人员的确切指标值,因为他们位于最小 0.5 小时范围的箱中。(In other charts, such as column charts, a person in a group below the threshold might be identifiable, but in a histogram the HR group to which people belong is the larger filter group.) You also cannot determine the precise metric value of specific people because they are in a bin with a minimum 0.5-hour range.

    您可以在工作区分析的以下方面看到直方图:You can see histogram charts in the following areas of Workplace Analytics:

哈希主题行Hash subject lines

使用此设置可控制是否在会议查询结果中显示主题行或 对主题行进行哈希处理,默认情况下不会显示 这些 行。Use this setting to control whether to show or hash subject lines in Meeting query results, which, by default, are not shown.

如果为 哈希 主题行选择"是",它们将被转换为哈希值 (系统生成的数字) ,因此任何查询中的文本都不可读。 If you select Yes for Hash subject lines, they are converted to a hashed value (a system-generated number), so the text in unreadable in any queries. 您仍可以创建包含主题行术语的会议查询,例如会议属性。You can still create meeting queries that include subject-line terms, such as for meeting attributes. 但是,你将看不到显示主题行的会议列表。However, you won't be able to see a list of meetings that show the subject lines. (设置后,它会立即生效,从而影响已处理的数据。) (After you make this setting, it takes effect immediately, affecting data that has already been processed.)

例如,可以运行主题行关键字"All-hands"的查询。For example, you could run a query with the subject-line keyword "All-hands." 根据查询中包括的属性,结果可能会显示具有该主题行的数据,包括会议数、会议长度和大小等。Based on the attributes you include in the query, the results could show data with that subject line, including the number of meetings, the length and size of the meetings, and so on. 但是,无法获取主题行"全手"的所有会议的特定列表, (每一个会议设置一行) 。However, you could not get a specific list of all the meetings with the subject line "All-hands" (a row for each all-hands meeting).

Note

Workplace Analytics 提供了第二次控制查询输出中包括哪些 HR 属性的机会。Workplace Analytics offers a second opportunity to control which HR attributes are included in query output. 映射上传的 HR 数据时,可以在下拉菜单中选择"在报告中包括"和"报告中的哈希"选项。You can make selections for the "Include in report" and "Hash in report" options in a dropdown menu when you map uploaded HR data. 有关详细信息,请参阅字段映射中的 "包括在报告中"和"报告中的哈希"的说明For details, see the descriptions of Include in report and Hash in report in Field mapping.

排除域或电子邮件地址Exclude domains or email addresses

你可以从特定域或包含特定电子邮件地址的数据中排除数据:You can exclude data from specific domains or data that includes specific email addresses:

  • "排除域"中,可以输入一个或多个要从分析中排除的域。In Exclude domains, you can enter one or more domains to exclude from analysis. 任何涉及这些域中包含人员的电子邮件、会议、呼叫或即时消息都将从任何查询中排除。Any email, meetings, calls, or instant messages that involve people included in these domains will be excluded from any queries.

  • "排除电子邮件地址" 中,可以输入一个或多个要从分析中排除的电子邮件地址。In Exclude email addresses, you can enter one or more email addresses to exclude from analysis. 任何具有这些电子邮件地址的电子邮件和会议 (发件人或收件人,与会者或被邀请者) 被排除在分析之外。Any email and meetings that have these email addresses (as either sender or recipient, and attendee or invitee) are now excluded from analysis. 对于此设置,需要为要排除的每个别名输入每个电子邮件地址。For this setting, you need to enter every email address for each alias that you want to exclude.

    Important

    请务必要求 Office 365 管理员不要向任何排除的电子邮件地址分配许可证。Be sure to ask your Office 365 admin to not assign licenses to any excluded email addresses.

从主题行中排除术语Exclude terms from subject lines

主题行对于要设置会议排除规则或查询会议数据的分析师非常有用。Subject lines are useful for analysts who want to set up meeting exclusion rules or to query meeting data. 您可以输入要从分析中排除的电子邮件和会议的主题行中出现的特定关键字或术语的列表。You can enter a list of specific keywords or terms that occur in the subject lines of emails and meetings that you want to exclude from analysis.

术语可以是字母、数字和特殊字符的任意组合 (例如客户律师特权或 D&我) 。Terms can be any combination of letters, numbers and special characters (such as client attorney privilege or D&I).

排除设置注意事项Exclusion setting considerations

您排除的任何域、电子邮件地址或术语将不会包含在任何分析中,因此仔细考虑排除的含义并平衡它们与隐私和数据分析目标非常重要。Any domains, email addresses, or terms you exclude will not be included in any of the analysis, so it's important to carefully consider the implications of an exclusion and balance them with your privacy and data-analysis goals. 如果排除经常出现在协作数据集中的域或术语,则可能会对分析造成负面影响。If you exclude a domain or term that frequently appears in the collaboration dataset, it could adversely skew your analysis. 在 Workplace Analytics 中处理元数据之前发生排除。Exclusion occurs before metadata is processed within Workplace Analytics. 这意味着,进行排除设置后,该设置不会影响已处理的数据。This means that, after you make an exclusion setting, the setting does not affect data that has already been processed.

如果排除 CEO 电子邮件地址 (ceo@company.com) ,则包含 CEO 的所有会议和电子邮件将从分析中删除。If you exclude the email address of the CEO (ceo@company.com), all meetings and emails in which the CEO is included are removed from analysis. 因此,对于包含 CEO 的所有会议和电子邮件,这些相同电子邮件和会议中包含的所有其他收件人和与会者的元数据也从分析中排除。So for all meetings and emails that include the CEO, the metadata for all other recipients and attendees included in those same emails and meetings is also excluded from analysis.

若要排除包含关键字"confidential"、"ACP"和"privileged"的所有电子邮件,请键入: 机密;ACP;privilegedTo exclude all email that contains the keywords "confidential," "ACP," and "privileged," you would type: confidential;ACP;privileged

排除逻辑Exclusion logic

  • 可以使用大写或小写关键字。You can use upper or lower-case keywords.
  • 必须与主题关键字的确切字符串匹配。Must match exact string for subject keywords.
  • 与部分单词不匹配;必须将所有部分词作为单独的术语列出。Does not match partial words; you must list all partial words as separate terms.

添加要从分析中排除的主题行术语时,Workplace Analytics 可能无法识别不常见的复合词,尤其是日语或中文等语言中的复合词。When you add subject-line terms to exclude from analysis, Workplace Analytics might not recognize uncommon compound words, especially those in languages such as Japanese or Chinese. 为了获得最佳结果,请使用用分号分隔的单个单词。For best results, use single words, separated by semicolons.

要排除的主题行中的术语Term from subject line to exclude 实际主题行Actual subject line 已排除Excluded
legal;acquisitionlegal;acquisition 验证这是否合法Verify this is LEGAL 是 - 忽略大小写Yes - Case is ignored
legal;acquisitionlegal;acquisition 这是否非法Is this illegal 否 - 不匹配部分字词,不排除非法No - Does not match partial words, and did not exclude illegal
legal;acquisitionlegal;acquisition 购置已完成Acquisitions are finalized 否 - 不匹配部分字词,不排除购置No - Does not match partial words, and did not exclude acquisitions
legal;acquisitionlegal;acquisition 这是否合法购置Is this a legal acquisition 是 - 不包括法律和购置Yes - Excluded both legal and acquisition

了解有关 工作区分析隐私和数据访问的信息Learn more about Workplace Analytics privacy and data access.

配置隐私设置To configure privacy settings

  1. "管理员设置 隐私设置"中,若要在可视仪表板中显示的最小组大小 > ,请设置最小组大小。 In Admin settings > Privacy settings, for Minimum group size to display in visual dashboards, set the minimum group size. 不能使用小于 5 的值。You cannot use a value lower than 5.

    Note

    以下排除设置是可选的,并且仅更改查询结果。The following exclusion settings are optional and only change query results. 这些设置不会更改查询功能的方式。These settings do not change the way a query functions.

  2. 哈希主题行中,选择 "是 "以对查询结果中的主题行进行哈希处理。In Hash subject lines, select Yes to hash subject lines in query results.

  3. "排除域"中,键入要排除的一个或多个域。In Exclude domains, type one or more domains to exclude.

  4. "排除电子邮件地址"中,键入一个或多个要排除的电子邮件地址。In Exclude email addresses, type one or more email addresses to exclude.

  5. "排除主题行中的术语" 中,键入一个或多个要排除的术语或关键字。In Exclude terms from subject lines, type one or more terms or keywords to exclude.

  6. 仔细确认所有设置,然后选择 "我确认所有隐私设置都正确"。Carefully confirm all settings, and then select I confirm that all privacy settings are correct. 只有在选中此复选框时,设置才能最终完成。Settings can be finalized only when you select this check box.

  7. 在页面的右上方,选择"保存 "。At the top right of the page, select Save.

Important

  • 初始设置后对隐私设置的所有后续更改都会影响组织 (HR) 或 Office 365 协作数据的下一次数据刷新。All subsequent changes to privacy settings after the initial setup, take affect on the next data refresh of your organizational (HR) data or Office 365 collaboration data.
  • 哈希主题行的更改 会立即在会议查询结果中生效。Changes to Hash subject lines take affect immediately in meeting query results.
  • 对最小 组和****哈希主题行 设置所做的更改会反向应用于所有 数据,包括历史数据。Changes to the minimum group and Hash subject lines settings apply retroactively to all data, including historical data.
  • 对分析设置中其他排除项的更改仅适用于下次数据刷新期间收集的新数据,而不会影响历史数据。Changes to the other exclude from analysis settings apply only to new data collected during the next data refresh and do not affect historical data.