组织网络分析 (ONA) 人员查询Organizational network analysis (ONA) person queries

通常需要在组织内实施更改,无论是引入新的过程还是推出新的系统或技术。It's frequently necessary to implement changes within organizations, whether this be introducing new procedures or rolling out new systems or technology. 传统的自上而下的使用正式授权来推动变革的方法(可能自大量电子邮件开始),并非始终是最有效的方法。The traditional top-down method of using formal authority to drive change – perhaps starting with mass emails – it’s not always the most effective way. 它可能由于多种原因而失败,包括公司文化、技术挑战或性格问题。It might fail for any of several reasons including company culture, technical challenges, or problems with personality.

取而代之的是,更成功的策略是使用变革推动者,人脉关系良好、有影响力人,他们身处组织架构的各个层级中,而不是高层。Instead, a more successful strategy uses change agents -- influential, well-connected people who are positioned at various levels within the hierarchy, not just at the top. 除组织正式架构之外,还存在非正式网络,每个人都可对这些网络内及网络之间的情况施加影响。Beyond an organization’s formal hierarchy there also exist informal networks; individuals can exert influence within those networks and between them. 最有影响力的人是拥有大型个人网络的人,即与同事的关系数量超过平均水平。The most influential people are the ones who have large personal networks – that is, above-average numbers of relationships with colleagues.

因此,要帮助实现变革,就要知道谁是影响者。Therefore, to help implement change, it pays to know who the influencers are. 为此,设计了 Workplace Analytics ONA 查询。The Workplace Analytics ONA query was designed for this purpose. 它可以帮助找出公司中人脉关系最好的人。It can help you find out who the best-connected people in the company are. 此决定给予他们的协作特征。It bases this determination on their collaboration characteristics.

此查询类型使分析人员可以使用称为影响力的指标。This query type lets analysts use a metric called Influence. 此指标是个人在公司中的人脉关系得分。This metric is a score of how well connected you are in the company. 它具有递归作用:如果与有良好人脉的人员建立了联系,那么可从其中受益。It acts recursively: if you’re connected to others who are well connected, you benefit from their connections as well. 了解了谁是公司、部门或其他团队中关系最好的人之后,便可以采取行动,使这些人可以有效地在团队内部或团队之间建立联系,并令其成为有效的变革驱动力。After you learn who the best connected people are in the company, division, or other group, you can act on the likelihood that these people can connect effectively within or across groups and become efficient drivers of change.

另请参阅 Workplace Analytics 如何计算影响Also see How Workplace Analytics calculates influence.

运行查询以确定影响力Run a query to determine Influence

角色: 分析师Role: analyst

  1. 在 Workplace Analytics 中,选择分析 > 查询In Workplace Analytics, select Analyze > Queries.

  2. 在“启动自定义查询”下,选择“网络: 人员”:Under Start custom query, select Network: Person:

    ONA 个人查询

  3. 选择并将在此处输入查询名称更改为名称,然后输入查询的说明。Select and change Enter query name here to a name, and then enter a description for the query.

  4. 对于分组依据,选择时间分组选项:每月汇总For Group by, select a time-grouping option: Monthly or Aggregated. 如果选择“每月”,则查询结果将包含一行,其中包含所选时间段内的每个月数据。If you choose Monthly, the query results will contain one row with data for each month in the time period that you chose. 如果选择汇总,查询结果将在所选择的整个时间段内包含一行。If you choose Aggregated, the query results will contain one row for the entire time period that you chose.

    Note

    目前,唯一可以与 ONA 查询一起使用的 会议排除规则租户默认会议排除规则Currently, the only meeting-exclusion rule that can be used with an ONA query is the Tenant default meeting exclusion rule. 生成查询时,默认情况下会选择此规则。无法取消选择。As you build your query, this rule is selected by default; it cannot be deselected.

  5. 如果您希望在定期运行查询,请选择 " 自动刷新"。If you want the query to run repeatedly, on a regular schedule, select Auto-refresh. (有关详细信息,请参阅 查询的自动刷新选项。 ) (For more information, see Auto-refresh option for queries.)

  6. 选择指标下,选择影响力Under Select metrics, select Influence. 如果选定,可编辑此指标的显示名称,编辑的名称在查询结果中作为列名称显示。If you choose, you can also edit the Display name of this metric; the edited name will appear as a column name in the query results. (其他指标自定义选项不可用。)(Other metric customization options are not available.)

  7. 在“选择筛选器”下,选择要查看其结果的人员组。Under Select filters, select the groups of people for whom you want to see results. 例如,要查询工程部门或财务部门的人员,请将此过滤器设置为 Domain Equals EngineeringDomain Equals FinanceFor example, to query about people in the engineering department or financial division, set this filter to Domain Equals Engineering or Domain Equals Finance.

  8. 组织数据下,选择要与指标数据一起显示在结果中的属性。Under Organizational data, select the attributes that you want to appear in the results along with the metrics data. 可以使用这些属性来进一步汇总结果,以创建比较和对比组织中不同小组协作的分析。You can use these attributes to further summarize the results to create analyses that compare and contrast the collaboration of different groups in the organization.

  9. 选择“运行”。Select Run. 查询通常需要花费几分钟才能完成。The query takes a few minutes to complete.

  10. 查询>结果页面上,查询状态最初显示为已提交On the Queries > Results page, the query status initially shows as Submitted. 查询状态更改为成功后,可以查看或下载(.csv文件)。After the query status changes to Succeeded, you can view it or download it (as a .csv file).

Note

可以针对不同的查询类型以不同的方式查看、复制、导出和可视化查询结果。You can view, copy, export, and visualize query results in different ways for different query types. 主题 视图、下载和导出查询结果 介绍了如何查看和共享结果。The topic View, download, and export query results describes how to see and share results. 例如,您可以 查看查询结果下载和导入查询结果,并 在 Power BI 中使用 OData 源For example, you can view query results, download and import query results, and use an OData feed in Power BI.

ONA 查询输出ONA query output

以下列包含在 ONA 查询的查询结果中:The following columns are included in the query results for ONA queries:

  • Person ID.Person ID. 数据行中所显示人员的匿名 ID 编号。De-identified ID number for the person represented in that data row.
  • Date.Date. 汇总输出的开始日期(例如,对于 6 月 3 日至 6 月 10 日所在周,开始日期应为 3 日。The start date of the aggregated output (for example, for the week of June 3rd to June 10th, the start date would be the 3rd. 对于一个月,它是您的数据包含) 的月份的第一天。For a month, it's the first day of the month that your data encompasses).
  • Person attributes.Person attributes. 通过上传最新组织(HR)数据提供的有关人员的属性。Attributes about the person supplied through the latest organizational (HR) data upload.
  • Metrics.Metrics. 查询中包含的任何指标。Any metrics that you include in the query. 有关更多信息,请参见指标定义:影响力For more information, see Metric definition: Influence.

工作区分析如何计算影响How Workplace Analytics calculates influence

以下说明中的术语来自 graph 理论。The terminology in the following description comes from graph theory. 在 graph 理论中,"节点" (也称为 "顶点" ) 是可与图形中的其他节点(其他对象)相关的对象。In graph theory, a "node" (also called a "vertex") is an object that can relate to other nodes -- other objects -- in the graph. 当我们将此模型扩展到工作区时,它会变得非常有用,其中 "节点" 表示有与同事和其他人的连接的人。This model becomes useful when we extend it to the workplace, where a "node" represents a person who has connections to co-workers and others.

"影响" 表示节点可能影响网络的观点或社会状态的估计值。Influence indicates a node's potential influence on opinions of the network or an estimate of social status. 实际上,它使用进入节点中的连接的数量和强度对节点进行排名。Essentially, it uses the number and strength of connections coming into a node to rank the nodes. 值介于0和1之间。The values are between 0 and 1.

从影响 glean 的最有意义的信息是节点的排名。The most meaningful information to glean from Influence is the rank of the nodes. 例如,假定节点 A 的影响为0.6,节点 B 的影响为0.3。For example, assume that node A has an Influence of 0.6 and node B has an Influence of 0.3. 您可以准确假设节点 A 比节点 B 更具影响力,因为节点的秩高于节点 B。但是,不能假设节点 A 的两倍与节点 B 有影响,因为这些值表示影响的排名或来源,而不是影响的影响量。You can accurately assume that node A is a more influential than node B, because node A ranks higher than node B. However, you cannot assume node A is twice as influential as node B because the values indicate a ranking or source of influence, not the amount of influence. 影响的计算使用个人之间的相对协作时间作为某人的影响措施的连接强度。The calculations for Influence use the relative collaboration time between individuals as the strengths of the connections for a person's influence measure.

ONA 人员到人员查询ONA person-to-person queries

指标说明/ONA 指标Metric descriptions / ONA metrics

查看、下载和导出查询结果View, download, and export query results

影响者的最佳实践Best practices for influencers