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如何用数据驱动人才管理
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如何用数据驱动人才管理

运用数据分析改善员工体验

Kogan Page, 2024 更多详情

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关键特征

  • 结构清晰
  • 概览
  • 引人入胜

导读荐语

提到个性化的员工体验,你第一个想到的大概不会是美国陆军。然而数据分析专家克里斯汀·萨林(Kristin Saling)却表示,这支庞大的军队在这方面做了很多工作。萨林的这本书生动有趣,用读者喜闻乐见的流行文化来阐释复杂概念,有力论证了如何运用数据深入理解员工,并以此为基础打造具备认知多样性的团队,产出非凡的创新成果。凭借清晰的术语和大量翔实的案例,《如何用数据驱动人才管理?》(Data-Driven Talent Management)堪称是一流的数据分析入门读物。哪怕是老道的人才管理者也能从这本书中获得深刻启发。

浓缩书

数据让人事管理得以实现个性化,回归具体的员工。它驱动组织发生变革,从以往的简单评估队伍里有多少人,转变到深入了解每一个在这里工作的活生生的人是谁。

人才管理的使命,在于发现、吸引、激励、培养能助力组织达成战略目标的人。在这个过程中,数据洞察很重要,能够帮助人才管理者精准决策。它在人才管理工作中有着广泛应用,从决定在哪个招聘网站发布职位、到提供何种培训,再到为了打动并留住员工而制定激励措施和研究职业发展机会。

想有效利用数据?组织必须先明确到底想解决什么问题,做出何种决策。同时,他们也必须清楚数据如何影响这些决策的最终走向。这里举个例子,谷歌(Google)通过收集高绩效团队的调研数据,识别出顶尖管理者的共有特质,在招聘时着重寻找具备这些特质的候选人,最终成功提升了团队整体表现和员工满意度。组织必须懂得如何解读数据,不仅要看出数据为我们解答什么问题,更要意识到它指出了哪些深层次的问题。同时,组织要善于通过可视化图表等易于理解的方式,向众人分享分析的结果。同样,那些富有创新精神的组织也会将目光投向数据之外,寻找全新的洞见。正如图书《点球成金》(Moneyball)及其同名电影中的那位棒球队经理,他大胆摒弃了传统的统计指标,发掘出被严重低估却能极大增强团队实力的球员。

组织在收集、保护和使用数据时,必须做到公开透明,保障员工隐私,促进信任。

关于作者

克里斯汀·萨林(Kristin Saling)现任美国陆军人力资源司令部(United States Army Human Resources Command)创新单元(Innovation Cell)总监。在此之前,她曾担任美国陆军人力与后备事务助理部长办公室(the assistant secretary of the Army for Manpower and Reserve Affairs)的人事分析副总监,以及陆军人才管理专项小组(Army Talent Management Task Force)的首席分析官。


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