【HR术语】什么是人力分析？（What is people analytics?）
什么是人力分析？
人力分析是一种以数据为导向的方法，旨在改进有关团队成员和客户的业务决策。人力分析并不完全依赖直觉或传闻经验，而是为人力资源领导者提供全面的数据，以做出有据可依的战略决策。
人力分析整合了人力资源信息系统软件，以收集和检查大量信息，预测趋势，并提供与员工生命周期不同阶段相关的宝贵见解。人力分析也被称为人才分析，公司利用人力分析将合适的人才匹配到合适的岗位上。
人力分析为何重要？
人力分析可对数据进行评估，以加强以下方面的工作：
招聘和录用
入职培训
劳动力规划
薪酬实践
留住人才
绩效
生产力
参与
不仅仅是人力资源部门，所有部门都开始采用人才分析功能。这种转变预示着人力资源自动化程度的提高： 人力资源领导者必须做好迎接这些变化的准备，以提供最新、准确的结果。
利用人力资源自动化工具，人力资源领导者可以做出明智的决策，提升员工体验，促进公司目标的实现。在竞争激烈、不进则退的市场中，人力资源领导者必须表现出灵活性，不断适应工作场所的创新。
人力分析实例
人力资源中的人力分析包括员工生命周期的各个方面。人力分析的例子包括:
流失预测。这包括分析历史数据，找出导致团队成员流失的模式和因素，使您有能力预测哪些员工有离职风险。
招聘优化。人力分析有助于改进招聘方法，以吸引和留住顶尖人才。
绩效分析。这包括评估关键绩效指标（KPI）、目标实现情况和能力评估等绩效数据，以获得有助于识别高绩效人才及其成功因素的见解。
员工参与度。调查数据和情感分析有助于深入了解员工满意度、敬业度以及影响因素。这些信息有助于组织设计提高员工敬业度的措施，并创造更加积极的工作环境。
学习与发展。分析可追踪培训成果、技能掌握情况以及教育计划带来的绩效提升，帮助您优化与业务目标相一致的培训投资。
关键人员分析指标
早期离职率。该指标指的是在公司工作第一年内离职的人员比例。它有助于评估留住人才的努力。
缺勤率。这衡量的是一个人意外缺勤的频率，无论是由于疾病、压力还是其他个人原因。团队成员缺勤率高，说明对工作场所不满意。
参与度得分。这些分数反映了员工对工作和整个组织的投入程度和满意度。
绩效评级。根据预定指标和目标对个人或团队的绩效进行评估。
每次招聘成本。评估招聘流程的总成本，包括广告、面试和入职成本。
如何利用人力分析做出决策
人力资源人力分析的有效性取决于将从数据中获得的见解付诸行动。以下步骤将帮助您为组织做出清晰、明智的决策：
确定目标。明确概述您打算利用人力分析来应对的具体组织挑战。
收集数据。从人力资源信息系统（HRIS）或人力资源管理系统（HCM）、绩效考核、调查及其他来源收集相关数据。
分析。采用统计方法、可视化工具或人力分析平台，从收集的数据中得出有意义的见解。
识别模式。从数据中寻找相关性和趋势，从而深入了解员工行为和组织面临挑战的原因。
做出明智决策。利用从数据中收集到的洞察力，做出有据可依的决策，帮助组织实现其目标。
人力分析仪表盘
人力分析仪表盘是关键人力资源指标和数据的可视化呈现。它提供的关键信息一目了然，如离职率、参与度评分、绩效数据和招聘统计数据。
仪表盘使人力资源领导和管理人员能够跟踪和了解劳动力指标，从而轻松做出明智的决策。用户友好、信息丰富的仪表盘可让利益相关者迅速访问和解释重要数据，而无需完全依赖 IT 部门或分析师。
如何成功实施人才分析系统
将人才分析纳入多个部门需要人力资源领导者挺身而出，指导他人完成这项新举措。人力资源领导者可以通过实施这些做法来支持人员分析的整合：
以身作则。展示对人才分析的熟练程度，或至少是对人才分析的理解，可以让人力资源领导者有效地使用人才分析，并在其他人学习的过程中为他们树立榜样。
观察。人力资源领导者可以确定其组织目前进行的数据收集水平，并注意公司目前使用的数据分析方法，如数据收集技术和类别，以及哪些人力资源领导者对数据负责。
向所有人力资源专业人员介绍人力分析。为所有人力资源人员提供人员分析 "基础培训"，可以提高他们对系统的认识。让人力资源专业人员熟悉人员分析，可以增强他们的能力，同时将这种方法融入公司文化和思维模式。
培训分析团队。教育人力分析专家如何阅读和仔细检查数据、警惕不准确的数据并做出基于数据的决策，这一点非常重要。这些人力资源专业人员决定着人才分析系统的有效性。
注意潜在隐患。公司可以利用人力资源信息系统平台简化、过滤数据，并以易于理解的方式将数据呈现给管理人员。另一个需要注意的挑战是通过数据加密和遵守诚实、公平和透明的政策来保护员工的隐私。
人力分析与人力资源分析
专业人士会交替使用 "人员分析 "和 "人力资源分析 "这两个术语。然而，两者之间是有区别的：
人力资源分析侧重于利用人力资源部门的数据来了解和管理员工。它深入研究团队成员的个人行为、绩效和参与度，旨在优化员工生命周期中的各种人力资源流程。
虽然人员分析也使用人力资源数据，但其关注点超出了这一范围，而是扩展到整个组织中更广泛的数据源，如整体业务绩效、财务、市场营销和销售。它收集更广泛的数据，以获得更深入的见解，为战略决策提供依据。
人力分析趋势
企业接受人员分析的程度以及使用人员分析的方式正在发生变化：
关注员工体验。现在的趋势是改善员工的整体旅程，强调健康和富有成效的远程工作体验等方面。
合乎道德的数据使用。随着人们对数据隐私的日益关注，数据使用的道德考量以及保持数据收集和分析的透明度将受到更多重视。
平台整合。人员分析工具将整合来自企业不同软件和应用程序的数据，从而更容易从单一来源获得所有必要的见解。
多样性、公平性和包容性。人们越来越重视利用人员分析来提高组织内部的多样性、公平性和包容性，而且这种情况只会继续增加。
人工智能集成。人力分析平台开始整合人工智能驱动的工具，以简化数据分析，并从复杂的数据集中获得更深入的见解。
人力分析如何改善企业文化？
人力分析为人力资源领导者、经理和高管提供数据支持，使员工绩效与公司目标保持一致。对这些数据进行有效评估并采取行动，有助于制定有效的招聘和培训策略、提高员工参与度，进而促进公司文化的发展。
以下为文章原文：
What is people analytics?
People analytics is a data-driven method that aims to improve business decisions regarding team members and customers. Rather than solely relying on instinct or anecdotal experience, people analytics provides HR leaders with comprehensive data to make evidence-based, strategic decisions.
People analytics integrates HRIS software to assemble and examine extensive information, predict trends, and provide valuable insights relating to the different stages of the employee lifecycle. Also known as talent analytics, companies use people analytics to match the right talent to appropriate roles.
Why is people analytics important?
People analytics assesses data to enhance the following areas:
Recruiting and hiring
Onboarding
Workforce planning
Compensation practices
Retention
Performance
Productivity
Engagement
Talent analytics is a function that all departments, not just HR, are beginning to adopt. This is a transformation that heralds an increase in HR automation: HR leaders must be ready to embrace these changes to deliver up-to-date, accurate results.
Leveraging HR automation tools enables HR leaders to make informed decisions that elevate the employee experience and promote company objectives. In a competitive, sink-or-swim market, HR leaders must demonstrate agility as they continuously adapt to innovations within the workplace.
Examples of people analytics
People analytics in HR encompasses various aspects of the employee lifecycle. Examples of people analytics include:
Attrition prediction. This involves analyzing historical data to identify patterns and factors leading to team member turnover, giving you the ability to predict which of your people are at risk of leaving.
Recruitment optimization. People analytics can help with refining recruitment approaches to attract and retain top talent.
Performance analysis. This involves evaluating performance data such as key performance indicators (KPIs), goal achievement, and competency assessments to gain insights that aid in identifying high-performing individuals along with the factors that contribute to their success.
Employee engagement. Survey data and sentiment analysis provide insights into employee satisfaction, engagement levels, and the factors influencing them. This information helps organizations design initiatives to improve engagement and create a more positive work environment.
Learning and development. Analytics can track training outcomes, skill acquisition, and performance improvements resulting from educational programs, helping you optimize training investments that align with business goals.
Key people analytics metrics
Early turnover rate. This metric refers to the percentage of people leaving within the first year of working at a company. It helps with assessing retention efforts.
Absence rate. This measures how often a person is unexpectedly absent from work, whether that’s due to sickness, stress, or other personal circumstances. A high absence rate among team members can indicate dissatisfaction in the workplace.
Engagement scores. These capture how committed and satisfied people are about their work and the organization as a whole.
Performance ratings. These evaluate individual or team performance against predefined metrics and goals.
Cost per hire. This assesses the total expenses of the hiring process, including advertising, interviewing, and onboarding costs.
How to use people analytics to make decisions
The effectiveness of HR people analytics depends on putting the insights gleaned from data into action. The steps below will help you make clear and knowledgeable decisions for your organization:
Define objectives. Clearly outline the specific organizational challenges you aim to address using people analytics.
Data collection. Gather relevant data from your HRIS or HCM, performance reviews, surveys, and other sources.
Analysis. Employ statistical methods, visualization tools, or a people analytics platform to draw meaningful insights from the collected data.
Identify patterns. Look for correlations and trends in the data that offer insights into workforce behaviors and the causes of your organization’s challenges.
Make informed decisions. Use the insights you’ve gathered from the data to make evidence-based decisions that help your organization reach its objectives.
People analytics dashboard
A people analytics dashboard is a visual representation of key HR metrics and data. It provides critical information at a glance, such as turnover rates, engagement scores, performance data, and recruitment statistics.
A dashboard empowers HR leaders and managers to track and understand workforce metrics so they can easily make informed decisions. A user-friendly and informative dashboard allows stakeholders to access and interpret essential data swiftly without having to rely exclusively on an IT department or analyst.
How to successfully implement a people analytics system
Incorporating talent analytics into multiple departments demands that HR leaders step up to guide others through this new initiative. HR leaders can support the integration of people analytics by implementing these practices:
Lead by example. Demonstrating proficiency in, or at least an understanding of, people analytics allows HR leaders to use it effectively and set an example for others as they learn the ropes.
Observe. HR leaders can identify the level of data collection they currently conduct at their organization and take note of the prevailing data analysis methods the company uses, e.g., data collection techniques and categories and which HR leaders are accountable for the data.
Introduce all HR professionals to people analytics. Providing people analytics “basic training” for all HR personnel will improve their knowledge of the system. Acquainting HR professionals with people analytics empowers them while infusing this method into the company culture and mindset.
Train the analytics team. It’s important to educate people analytics specialists on how to read and scrutinize data, watch out for inaccurate data, and make data-informed decisions. These HR professionals determine the effectiveness of the talent analytics system.
Be aware of potential pitfalls. Companies can use an HRIS platform to simplify, filter, and present the data in a digestible manner to managers. Another challenge to be mindful of is the essential protection of people’s privacy through data encryption and adherence to an honest, fair, and transparent policy.
People analytics vs HR analytics
Professionals use the terms “people analytics” and “HR analytics” interchangeably. However, there’s a difference between the two:
HR analytics focuses on leveraging the HR department’s data to understand and manage the workforce. It delves into individual team members’ behaviors, performance, and engagement, aiming to optimize various HR processes across the employee lifecycle.
While people analytics also uses HR data, its focus extends beyond this to wider data sources across the organization, such as overall business performance, finance, marketing, and sales. It gathers a broader spectrum of data to gain deeper insights that inform strategic decisions.
People analytics trends
The extent to which organizations embrace people analytics and the ways they use it are already changing:
Focus on employee experience. There’s a shift toward improving the overall employee journey, emphasizing aspects like wellness and productive remote work experiences.
Ethical data use. With the increased concern around data privacy, there’ll be greater emphasis on ethical considerations around data usage and maintaining transparency in data collection and analysis.
Platform integration. People analytics tools will integrate data from an organization’s different software and apps to make it easier to get all the necessary insights from a single source.
Diversity, equity, and inclusion. There’s a greater focus on using people analytics to improve diversity, equity, and inclusion within organizations and this will only continue to grow.
AI integration. People analytics platforms are starting to integrate AI-driven tools to streamline data analysis and derive deeper insights from complex data sets.
How can people analytics improve company culture?
People analytics provides HR leaders, managers, and executives with data to support the alignment of employee performance with company objectives. Effectively assessing and acting on this data contributes to effective hiring and training tactics, employee engagement, and in turn, a robust company culture.
【美国】人员分析软件公司One Model获得4100万美元融资
人事分析软件公司One Model 宣布成功完成了一轮增长融资，获得了由全球高增长技术公司投资商 Riverwood Capital 领投的 4100 万美元投资。
这笔投资是对One Model的有力支持，因为它是2023年对人力资源技术公司进行的最大规模的新投资之一。自2015年以来，全球最大的雇主和品牌利用One Model真实的劳动力数据协调和灵活、透明、实用的机器学习，做出了卓越、快捷的人才决策。
"One Model联合创始人兼首席执行官Christopher Butler表示："这笔资金将使我们保持增长轨迹，并继续成为人员分析领域的创新领导者。"通过扩大资源，我们的目标是让人力资源和 IT 领导者能够利用企业劳动力数据的真正潜力，推动业务取得重大成果。他补充说："此外，我的联合创始人David Wilson、Matthew Wilton和我在职业生涯中都热衷于在大型企业中大规模普及人力数据洞察力。我们毕生的使命就是为所有决策者提供最可靠、最有影响力、最具预测性和最符合道德规范的见解。
这笔资金将加速 One Model 产品组合中两个核心技术解决方案的开发。第一个是 People Data Cloud™，这是一个开创性的劳动力数据协调平台，旨在为企业提供卓越的分析能力。People Data Cloud™ 允许企业充分利用其劳动力数据的潜力，获得可操作的洞察力，并做出以数据为依据的决策，从而推动业务成功。
第二个重点领域是 One AI，这是人力资源分析领域最透明、最安全的数据科学、机器学习和预测分析平台。这项尖端技术可为雇主提供合乎道德、可解释的人工智能洞察力。One AI 将监管就绪的治理与预测的可靠性结合在一起，为未来数年树立了很高的创新标准。
"在数字化、自动化、技术创新和复杂性不断提高的世界里，及时做出明智的人才决策是任何组织取得成功的基础，"Riverwood Capital 联合创始人兼管理合伙人 Francisco Alvarez-Demalde 说。"One Model 的平台能够理清所有人力资源数据，为雇主提供正确的人员分析工具和洞察力，以充分发挥员工的潜力。通过 One Model，企业可以发现、培养和留住人才，并做出更好的招聘和其他人力资源相关决策。One Model 以人为本的方法和创新的技术使其脱颖而出，成为全球企业追求更强人才战略的最佳合作伙伴。我们很高兴能与这支出色的团队合作，通过全面的人员分析平台发展业务并革新人力资源。
One Model 的发展轨迹得益于与近百家全球最大雇主和品牌建立的牢固客户关系。通过对这些组织的全球人员数据提供安全、前所未有的访问和可视性，公司赢得了业内最受尊敬和最有能力的人员分析供应商的美誉。多年来，One Model 荣获了无数奖项和荣誉。它在 2021 年荣获昆士兰出口奖，在 2022 年入围澳大利亚出口奖决赛，并在 2020 年被人力资源技术联盟评为 "最佳新人员分析解决方案"。
One Model 的客户包括Colgate-Palmolive，他们利用数据为其 34,000 名全球员工的参与战略提供信息，帮助实现多元化、公平和包容性目标。One Model 在全球和各行各业都深受信赖。One Model 的客户包括全球最大的网页设计和托管公司之一、领先的在线证券交易应用程序、全球薪资供应商以及数十个全球知名品牌。
昆士兰投资公司（QIC）、Geekdom 和 AV8 Ventures 也参与了本轮融资。AGC 和 Cooley 担任 One Model 和 Foley & Lardner LLP 的顾问。Piper Sandler担任Riverwood Capital的顾问。
关于 One Model
One Model 是一家人员分析软件公司，为企业提供最先进的解决方案，以利用其劳动力数据的力量。公司的旗舰产品 People Data Cloud™ 和 One AI 提供先进的分析功能和无与伦比的数据协调能力，帮助企业做出数据驱动型决策、优化人才战略并促进业务成功。凭借对创新、客户成功和战略合作伙伴关系的高度重视，One Model 在改变企业利用人员分析的方式方面处于领先地位。
文章来源：hrtechfeed
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