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SHRM:2024人力分析在人力资源管理中的应用研究报告:现状及未来最佳实践(中译版)(26页).pdf

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1、The Use ofCurrent State and Best Practices Moving ForwardPeople Analytics in Human ResourcesCPR-2222432PageMore than 9 in 10(94%)business leaders say that people analytics elevates the HR profession(People Analytics,SHRM Research,2021).Meanwhile,71%of HR executives who use people analytics report th

2、at it is essential to their organizations HR strategy.With technological advances and increased computing power,organizations of all sizes can leverage increasing volumes of data within their organizational functions.It is now possible to use data,rather than anecdotes or intuition,to evaluate the e

3、fficiency of HR processes;employee productivity,diversity or attrition;and other key business metrics.The improved efficiency that people analytics tools offer can also allow HR professionals to focus more of their attention on innovation and strategy.HR leaders are increasingly looking to people an

4、alytics as a tool to answer key business questionsWhat Is People Analytics?People analytics is the practice of collecting and analyzing employee(or applicant)data to understand,improve and optimize business outcomes.If HR professionals and leaders use people analytics appropriately,they can make mor

5、e effective decisions,improve the employee experience and impact the bottom line.To better understand the power of people analytics in organizations and the challenges organizations face in their journey,SHRM Research surveyed 2,149 HR professionals and 182 HR executives who work for organizations t

6、hat currently use people analytics.SHRM Research found that people analytics has great utility and promise to transform HR,but that many organizations have yet to realize its full potential.3PageThe utility and promise of people analytics is evident in its use across the employee life cycle.The resu

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根据报告的内容,本文主要探讨了人力资源管理中人员分析的应用现状、挑战和最佳实践。文章指出,94%的商业领袖认为人员分析提升了人力资源专业水平,71%的HR高管认为人员分析对其组织的HR战略至关重要。然而,许多组织尚未充分发挥人员分析的潜力。文章分析了人员分析在员工生命周期中的应用,包括招聘、保留、薪酬福利、绩效管理、员工参与度等方面。文章还指出,组织在数据驱动文化、数据分析专家投资、数据分析的合规性和数据隐私保护等方面存在挑战。最后,文章提出了七项最佳实践,包括投资基础、检查数据质量、理解并准备解释人员分析如何做出决策、只实施公平、道德和负责任的人员分析、评估合规性并了解与人员分析相关的法律风险、保护员工和应聘者的数据、在组织内建立人员分析治理结构。
人力资源数据分析如何提高员工保留率? 人工智能在人力资源数据分析中的应用有哪些风险? 如何确保人力资源数据分析的公平、伦理和法律合规性?
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