• 可扩展性
    ADP重磅推出AI驱动HCM平台:Lyric HCM,赋能全球人力资源管理 刚刚,ADP宣布推出Lyric HCM,这是一个融合了生成式AI(GenAI)的全球化人力资本管理平台,旨在通过灵活性、智能化和以人为本的设计提升员工体验。Lyric HCM可以帮助企业应对全球员工管理的挑战,提供个性化的服务,并支持在75个以上国家的薪酬管理。Lyric还利用预测分析、实时洞察和异常检测,帮助企业做出更明智的决策并提升效率。 ADP全球产品与创新总裁Sreeni Kutam指出,现代企业需要具备适应性和合规管理能力的工具,而Lyric通过结合ADP庞大的数据集,提供灵活的解决方案,满足了企业不断变化的需求。同时,全球人力资源行业分析师Josh Bersin也强调,Lyric HCM超越了传统的人力资源管理系统,能够帮助员工更高效地完成工作并提升整体工作体验。 Lyric的云原生设计、强大的移动体验以及对GDPR等合规要求的支持,使其成为全球大型企业的理想选择。此外,Lyric可以灵活适应各种企业结构和工作流程,帮助企业无缝扩展并提供个性化的员工体验。 视频可以访问视频号:HRTech ADP Lyric HCM利用生成式AI (GenAI) 提供个性化的全球员工体验 新泽西州罗塞尔,2024年9月23日 - ADP®今日宣布推出ADP Lyric HCM,一个专为满足现代化劳动力不断变化需求而设计的人力资本管理(HCM)平台,涵盖全球HR、薪酬和服务功能。Lyric通过结合灵活性、智能化和以人为本的设计,提供了一个革命性的解决方案,提升了全球范围内的员工体验。 "Lyric为现代工作场所设立了新标准,将先进的HR技术与高度个性化的方法结合在一起," ADP全球产品与创新总裁Sreeni Kutam表示。 "今天的劳动力是灵活且全球化的。企业需要工具来高效管理他们的全球员工,确保合规并具备洞察力。Lyric通过结合行业领先的生成式AI技术与ADP独有的大数据,提供了灵活、智能且以人为核心的HCM解决方案。" 在当今动态的商业环境中,大型企业需要能够快速适应变化的HCM系统。分散的技术往往妨碍HR部门对全球员工数据的全面掌握。随着法规不断变化,企业需要一种设计能够帮助他们主动管理合规的系统。此外,今天的技术娴熟员工期望个性化、实时的服务来解决问题并做出明智决策。 Lyric通过一个一体化的HCM解决方案应对这些挑战,其特点包括: 灵活性:能够轻松操作,适应企业独特的结构、工作流程和实践,无需遵循固定的方法。 智能性:通过预测分析、实时数据洞察、趋势预测、异常检测和个性化建议,提升决策能力并提高运营效率。 人性化:为员工提供个性化的、与其职业发展阶段相符合的体验。 全球性:ADP Lyric HCM支持75多个国家的工资发放,且每个季度会拓展更多地区。 大型企业可依赖Lyric的云原生设计及强大的安全机制,帮助其遵守严格的GDPR及其他合规要求。Lyric提供响应式网页及强大的移动端体验,使其无论何时何地都可以轻松访问,帮助企业扩大规模,管理全球员工并提供服务。 "当今的企业需要一种全新的、灵活易用且融合了AI技术的HR软件,"全球HR行业分析师Josh Bersin表示。 "ADP的Lyric HCM为动态企业量身打造,围绕团队而非层级结构,具备管理新型工作世界的能力。Lyric不仅仅是HR管理工具,还能够使员工的工作更加轻松高效。凭借其先进的智能技术、个性化设计和全球可扩展性,Lyric已成为解决当今HR挑战的首选工具。通过提升人性化体验,Lyric帮助企业有效管理其全球团队,提供适应各自需求的解决方案。" "Lyric HCM让我们能够实现无缝扩展,"Capstone Logistics的执行副总裁Tom Peot表示。 "我们最近在有机增长和并购方面都有显著发展。Lyric帮助我们保持灵活性,并提升了以往无法实现的效率。" 欲了解更多关于Lyric功能的信息或安排演示,请访问 ADP.com/lyricHCM。 关于ADP (纳斯达克: ADP) 通过尖端产品、优质服务和卓越体验,ADP致力于设计更好的工作方式,帮助人们充分发挥潜力。涵盖HR、人才管理、时间管理、福利和薪酬。由数据驱动,以人为本。了解更多信息,请访问 ADP.com。 ADP,ADP徽标和Always Designing for People是ADP, Inc.的商标。其他所有标志均为其各自所有者的财产。 版权所有 © 2024 ADP, Inc. 保留所有权利。
    可扩展性
    2024年09月24日
  • 可扩展性
    人力资源公司Deel收购薪资提供商PaySpace,提供更快、更灵活的薪资服务 继上周收购Zavvy 之后,全球人力资源公司 Deel(估值 120 亿美元,在 150 多个国家拥有 2 万多家客户)宣布收购薪资巨头 PaySpace,并实现了 5 亿美元的年经常性收入。首席执行官Alex Bouaziz在下面撰文介绍了这一消息; 我很高兴与大家分享 Deel 收购 PaySpace 的消息!PaySpace 是市场领导者,拥有 20 多年的薪资和人力资源经验。公司在非洲和中东的 44 个国家建立了技术最先进的本地薪资引擎。它拥有超过 14,000 家客户,其中包括喜力、可口可乐和彪马体育等大品牌。我们的团队考察了许多全球薪资管理公司,PaySpace 是其中的佼佼者。 对我们的客户来说,收购 PaySpace 将改变游戏规则,为他们的团队提供真正的全球覆盖和更快、更灵活的薪资服务。这一消息加上我们 2022 年对亚太地区薪资提供商 PayGroup 的收购,使 Deel 成为市场上最全面的人力资源和薪资解决方案之一。 薪资行业的发展并非全球第一。随着时间的推移,公司开发或收购了本地引擎,并将系统拼接在一起,将其作为全球系统进行销售。这导致了薪资错误和延误、糟糕的劳动力体验,甚至是合规问题。直到工作环境变得更加全球化,人力资源领导者才开始意识到薪资系统无法满足需要。全球薪资管理至关重要,但却很难做好。 Deel 成立之初就是一个全球优先的工作解决方案,我们的薪资雄心也不例外。我们为企业客户提供的全球薪资产品是我们增长最快的产品,我们收购 PaySpace 意味着我们现在拥有完整的人力资源堆栈:100 多个国家的实体、本地团队(法律、人力资源、薪资)以及遍布六大洲 50 多个国家的本地薪资引擎。没有其他薪资公司拥有如此多的基础设施。我们的目标是在未来四年内,在同一个本地全球薪资引擎上为 100 个国家提供服务。 PaySpace非常适合 Deel,因为该公司已经是中东和非洲地区的市场领导者,并希望向全球扩张。他们的创始团队才华横溢,带来了大量的薪资管理专业知识和激情,尤其是与全球知名品牌的合作。 我还要自豪地宣布,在公司成立后的五年内,我们的年度经常性收入(ARR)达到了 5 亿美元。之所以能取得这一里程碑式的成就,是因为我们的客户、合作伙伴及其团队对我们的信任。衷心感谢他们和我们出色的团队。让我们继续前进! 我们创办Deel 的初衷是,无论身处世界何处,每个人都应该拥有良好的工作体验。本次收购是朝着实现这一愿景迈出的一大步。 关于 Deel Deel 是面向全球团队的一体化人力资源解决方案。它帮助公司简化国际员工管理的方方面面,从文化和入职,到当地薪资、合规性,再到现在的人员管理。它拥有130多个国家实体,管理内部的国内薪资团队,此外还在全球范围内提供雇主记录、承包商、移民和人力资源信息系统服务。 关于 PaySpace PaySpace从一开始就采用云原生技术,其专有技术旨在以高度安全和高效的方式运行。它专门设计用于为各种规模和行业的组织提供多国薪资和人力资源功能,并内置合规功能。它为薪资和人力资源数据提供了单一的真相--以及在各个层面做出战略决策的工具。PaySpace已扩展到 40 多个非洲国家和中东地区,并即将在英国和巴西推出。它具有可扩展性、可配置性、高度安全性和易用性,允许随时随地访问,以增强薪资和人力资源团队的能力,推动组织发展。
    可扩展性
    2024年03月06日
  • 可扩展性
    【HR术语】什么是预测性人力资源分析?(What is predictive HR analytics?) 什么是预测性人力资源分析? 预测性人力资源分析是人力资源部门用来分析过去和现在的数据以预测未来结果的一种技术工具。预测性人力资源分析以数字化方式挖掘数据,提取、剖析和归类信息,然后识别模式、不规则性和相关性。通过统计分析和预测建模,分析可实现有关人力资源职能的数据驱动决策。 预测性人力资源分析系统让人想起蚯蚓。蚯蚓吸收天然废料和残渣,排出营养丰富的肥沃土壤。预测性分析也是如此,它吸收未使用的原始数据,并将其转化为适用的信息,为更明智的业务决策提供支持。 人力资源预测分析实例 以下是当今组织如何应用人力资本预测分析的一些示例: 招聘。预测分析可帮助人力资源专业人员确定最有效的顶尖人才来源。通过分析成功招聘的历史数据,企业可以将招聘工作重点放在能产生最佳效果的平台和渠道上。 留住员工。预测模型可以分析员工数据,如绩效考核、缺勤率和任期,以识别有离职风险的员工。这样,人力资源部门就可以采取积极措施,如提供职业发展机会或解决工作场所的问题,留住有价值的人才。 劳动力规划。预测分析可以通过考虑退休率、人员流动和新兴行业趋势等因素,预测公司未来的技能缺口。然后,人力资源部门可以制定培训和发展计划,弥补这些差距,确保员工队伍保持竞争力。 员工绩效管理。预测性人力资源分析可根据历史绩效数据预测团队成员的未来绩效。这有助于人力资源团队识别可能成为关键职位潜在接班人的高绩效人员,并帮助他们发现其他人可能落后的原因。 员工参与和福利。预测分析能够发现影响员工敬业度的问题。人力资源专业人员可以通过监控工作量和工作时间等因素,识别可能面临职业倦怠或其他心理健康问题风险的人员。然后,人力资源部门可以为有需要的人提供有针对性的支持和资源。 预测性分析如何帮助人力资源部门? 预测性人力资源分析可以帮助组织预测挑战,从而可以: 避免风险 减少人为错误 预测将在组织中茁壮成长的典型员工情况 加强招聘实践 鼓励实现最佳工作绩效 最终,预测性人力资源分析可帮助人力资源领导者做出清晰明确的决策,从而增加整体利润,提高员工的积极性、忠诚度、参与度和工作效率。 预测性和描述性人力资源分析有何不同? 描述性人力资源分析包括检查历史人力资源数据,以全面了解组织内发生了什么及其原因。 而预测性人力资源分析则不局限于此,而是通过分析历史数据和过去的趋势来预测未来会发生什么,从而使组织有机会采取预防措施或抓住出现的机遇。同时使用预测性和描述性两种人员分析形式的组织,都能为自己带来最大的影响。 如何成功实施预测性人力资源分析系统? 人力资源领导者可以利用以下技巧率先实施有效的预测性人力资源分析: 确定业务目标。人力资源领导者可以与团队合作,确定公司的长期目标,团队成员也可以帮助确定支持实现这些目标的相关指标。 确保透彻理解。预测性人力资源分析是一个复杂的领域,不熟悉数据科学的人力资源专业人员可能会对此感到畏惧。然而,为整个人力资源团队提供一致且多样化的学习选择,可以减轻他们对这一主题的不适感,加深理解,并鼓励员工持续发展。方法之一是鼓励人力资源团队熟悉每种分析算法的基本推理。人力资源部门还可以让数据科学家或人力资源数据分析师参与进来,以确保预测分析流程的最佳运作。 解决道德问题。为了避免对员工的不公平歧视待遇,预测分析团队可以预先防范可能出现的道德问题。公司可能会有意或无意地虐待员工中的特定人群,或者由于不正当的数据驱动推理而偏袒某些团队成员。因此,透明地遵守公司的行为准则和人力资源道德准则至关重要。员工需要知道他们的雇主是公平对待他们的,这样他们才会有参与感,才会有茁壮成长的动力。 利用预测分析的力量。人力资源领导者可以通过将预测分析应用于特定目标,最大限度地发挥其作用。例如,人力资源领导者可以结合预测分析来设计有效的职业发展计划,以解决能力差距和未来的能力需求问题,从而按照员工所希望的学习轨迹对其进行培训。 预测性人力资源分析如何改善企业文化? 预测性人力资源分析提供了一种方法,可帮助领导者做出明智的决策,从而培养一支充满热情和高绩效的员工队伍。有效、合乎道德地使用人力资源分析,可以使公司有能力识别、雇佣、吸引和留住符合公司文化并乐于为公司发展做出贡献的高素质专业人才。 为企业选择合适的预测性人力资源分析工具 选择合适的人员分析软件是人力资源专业人士和企业必须迈出的关键一步,这样他们才能收获人力资源预测分析的所有回报。 工具的选择应符合具体的业务需求、资源和目标。要做出明智的决定,有几个关键点需要牢记: 集成。工具能否与现有人力资源系统无缝集成?兼容性和数据传输的便捷性对于准确的预测建模至关重要。 可扩展性。合适的工具能够随着企业的扩张而扩展人力资源预测分析工作。 用户友好界面。寻找能够提供直观的仪表盘、可视化和报告功能的工具,使人力资源专业人员能够轻松访问和解释洞察力。 可解释性。确保工具对其预测做出解释。这样,您的人力资源团队就能理解为什么会做出某些预测,并采取适当的行动。 数据安全性和合规性。人力资源数据通常包括敏感和机密信息。确保工具遵守数据隐私法规,并有保护数据的安全措施。 支持和培训。考虑工具供应商提供的支持和培训水平。充分的培训和持续的支持对人力资源团队有效使用工具并最大限度地发挥其优势至关重要。 成本和投资回报率。评估总体拥有成本,包括许可费用、实施成本和持续维护费用。通过估算工具的洞察力如何对人力资源成果和组织绩效产生积极影响,计算潜在的投资回报。 用户反馈和评论。向使用过该工具的人力资源专业人士征求反馈意见,并阅读行业内其他组织的评论。他们的经验可以为了解工具的优缺点提供宝贵的见解。 通过仔细考虑这些因素,您可以为您的人力资源团队提供一个预测性劳动力分析工具,从而增强决策能力,推动人力资源战略,促进整体业务成功。 以下为文章原文: What is predictive HR analytics? Predictive HR analytics is a tech tool that HR uses to analyze past and present data to forecast future outcomes. Predictive HR analytics digitally digs through data to extract, dissect, and categorize information and then identify patterns, irregularities, and correlations. Through statistical analysis and predictive modeling, analytics enables data-driven decisions regarding HR functions. Predictive HR analytics systems are reminiscent of the earthworm. The worm ingests natural waste material and residue and excretes nutrient-rich, fertile soil. Predictive analytics, too, intakes unused, raw data and transforms it into applicable information that supports wiser business decisions. Predictive HR analytics examples Here are some examples of how organizations today apply human capital predictive analytics: Recruitment. Predictive analytics helps HR professionals identify the most effective sources of top talent. By analyzing historical data on successful hires, organizations can focus their recruitment efforts on the platforms and channels that yield the best results. Employee retention. Predictive models can analyze employee data, such as performance reviews, absenteeism, and tenure, to identify people at risk of leaving the company. This allows HR to take proactive measures, such as offering career development opportunities or addressing workplace concerns, to retain valuable talent. Workforce planning. Predictive analytics can forecast future skill gaps within a company by considering factors like retirement rates, turnover, and emerging industry trends. HR can then develop training and development programs to fill these gaps and ensure the workforce remains competitive. Employee performance management. Predictive HR analytics can forecast a team member’s future performance based on historical performance data. This helps the HR team identify high-performing people who could be potential successors for critical roles, and can help them discover why others may be lagging behind. Employee engagement and wellbeing. Predictive analytics has the ability to uncover issues that affect employee engagement. HR professionals can identify people who may be at risk of burnout or other mental health issues by monitoring factors like workload and working hours. HR can then provide targeted support and resources to those in need. How does predictive analytics help human resources? Predictive HR analytics assists organizations in anticipating challenges so they can: Avoid risk Reduce human error Forecast the typical employee profile that’ll thrive in the organization Enhance recruitment practices Encourage optimal work performance Ultimately, predictive HR analytics helps HR leaders make crystal-clear decisions that can increase overall profit and nurture employee motivation, retention, engagement, and productivity. What is the difference between predictive and descriptive HR analytics? Descriptive HR analytics involves examining historical HR data to get a thorough understanding of what has happened within an organization and why. Predictive HR analytics, on the other hand, goes beyond this and analyzes historical data and past trends to predict what will happen in the future—giving an organization the chance to take preventive measures or to seize opportunities as they arise. Organizations that use both predictive and descriptive forms of people analytics set themselves up to achieve the greatest impact. How do you implement a successful predictive HR analytics system? HR leaders can spearhead effective predictive HR analytics using the following tips: Define business objectives. HR leaders can collaborate with their teams to identify long-term company goals, with team members also helping determine the relevant metrics that support the achievement of these objectives. Ensure a thorough understanding. Predictive HR analytics is a complex field, and HR professionals unfamiliar with data science can feel intimidated by it. However, providing consistent and diverse learning options for your entire HR team can mitigate their discomfort with the subject, elevate understanding, and encourage continual employee development. One way to do this is to encourage your HR team to familiarize themselves with the fundamental reasoning driving each analytics algorithm. HR can also involve a data scientist or bring an HR data analyst on board to ensure optimal functioning of the predictive analytics process. Address ethical considerations. To avoid unfair discriminatory treatment of employees, predictive analytics teams can pre-empt possible ethical issues that may arise. Companies could intentionally or unintentionally mistreat specific demographics within the workforce or perhaps show favoritism to certain team members due to illegitimate data-driven reasoning. Thus, transparently adhering to the company’s code of conduct and the HR code of ethics is paramount. People need to know that their employers are treating them fairly to feel engaged and motivated to thrive. Harness the power of predictive analytics. HR leaders can maximize predictive analytics by applying it to specific objectives. For example, HR leaders can incorporate predictive analytics to design an effective career development program that addresses competency gaps and future competency needs, allowing them to train people in their desired learning trajectory. How can predictive HR analytics improve company culture? Predictive HR analytics offers a way to help leaders make informed decisions that nurture an enthusiastic and high-performing workforce. Effective and ethical use of HR analytics can empower companies to identify, hire, engage, and retain quality professionals who align with the company culture and are excited to contribute to its growth. Choosing the right predictive HR analytics tool for your business Selecting the right people analytics software is a crucial step for HR professionals and organizations to take, so that they’re able to reap all the rewards of HR predictive analytics. The choice of tool should align with specific business needs, resources, and objectives. There are a few key things to keep in mind to be able to make an informed decision: Integration. Can the tool seamlessly integrate with your existing HR systems? Compatibility and ease of data transfer are essential for accurate predictive modeling. Scalability. The right tool will be able to expand your predictive HR analytics efforts as your organization expands. User-friendly interface. Look for tools that offer intuitive dashboards, visualizations, and reporting features, making it easy for HR professionals to access and interpret insights. Explainability. Ensure that the tool provides explanations for its predictions. That way, your HR team can understand why certain predictions are made and take appropriate actions. Data security and compliance. HR data often includes sensitive and confidential information. Make sure the tool adheres to data privacy regulations and has security measures to protect your data. Support and training. Consider the level of support and training provided by the tool’s vendor. Adequate training and ongoing support are essential for HR teams to effectively use the tool and maximize its benefits. Cost and ROI. Evaluate the total cost of ownership, including licensing fees, implementation costs, and ongoing maintenance expenses. Calculate the potential return on investment by estimating how the tool’s insights can positively impact HR outcomes and organizational performance. User feedback and reviews. Seek feedback from HR professionals who have used the tool and read reviews from other organizations in your industry. Their experiences can provide valuable insights into the tool’s strengths and weaknesses. By carefully considering these factors, you can empower your HR team with a predictive workforce analytics tool that enhances decision-making, drives HR strategies, and contributes to overall business success.
    可扩展性
    2024年03月05日
  • 可扩展性
    【HR术语】什么是人力资源运营?(What is HR operations?) 什么是人力资源运营? 人力资源运营(不要与人事运营混淆)是企业内的一项重要职能,负责管理日常人力资源活动的行政和实际工作。 人力资源运营是人力资源部门的支柱,确保各种人力资源流程和系统顺利运行,包括招聘、入职、薪资管理、员工关系、合规等。 人力资源运营的目标是什么? 效率和准确性。优化人力资源流程,减少人工操作,将人力资源操作中的错误降至最低。 合规性。确保遵守劳动法律、法规和公司政策,从而降低法律风险。 良好的员工关系。建立积极的关系,为企业员工提供支持,帮助他们发挥最佳水平。 可扩展性。让企业的员工与公司一起成长,使员工队伍能够不断满足企业不断变化的需求。 人力资源运营的职责是什么? 入职和离职。管理从招聘到离职的整个员工生命周期。 薪资和福利管理。处理专业人员的薪酬和福利,确保准确及时地处理薪资。 数据管理。维护记录和数据的准确性,保护敏感信息。 合规与法律。确保人力资源流程符合劳动法律、法规和公司政策。 劳动力规划。协助制定组织的整体人力资源战略,包括劳动力规划、继任和招聘。 培训与发展。管理培训计划,跟踪员工的进步,确定需要改进的地方,并为职业发展创造机会。 解决冲突。处理专业人员之间的争议。 健康与安全。通过制定安全政策和报告流程以及开展培训,为员工营造一个安全健康的工作环境。 人力资源技术管理。实施并监督人力资源信息系统(HRIS)、绩效管理软件和申请人跟踪工具等软件工具。 人力资源运营经理的职责是什么? 人力资源运营经理负责监督所有人力资源运营的日常运作(人力资源运营总监则负责总体战略)。 他们与其他人力资源领导合作,确保所有流程与公司目标保持一致。 他们监督人力资源员工和人力资源运营专家,确保工作的完成。人力资源运营经理还为员工提供他们可能需要的任何支持。他们将这种支持扩展到整个组织--解决复杂的人力资源问题并提供指导。 人力资源运营经理要寻找机会,实施人力资源最佳实践,提高效率,降低运营成本。他们分析可用的人力资源数据,就资源分配和劳动力规划做出决策,并实施人力资源技术解决方案以提高自动化程度。 人力资源运营经理还有责任随时了解相关法律法规,确保合规。 人力资源运营经理的薪酬是多少? 人力资源运营经理的薪酬因经验、地点、组织规模和行业而异。 但平均而言,他们在美国的年薪约为 123,000 美元,在英国约为 64,495 英镑,在澳大利亚约为 130,000 澳元。 事实上,大型企业中经验丰富的经理人的年薪可能会超过这个数字,最高可达 16.4 万美元、7.5 万英镑和 15.25 万澳元,而那些规模较小或经验较少的经理人的年薪通常在 8.7 万美元、4.7 万英镑或 11.58 万澳元左右。 工作地点对薪酬水平有很大影响,大城市的薪酬通常较高。 人力资源技术如何帮助人力资源运营? 人力资源技术是人力资源运作不可或缺的一部分,因为它有许多好处: 自动化。人力资源技术可将工资单处理、入职和福利管理等重复性工作自动化,从而节省人力资源专业人员通常用于行政管理的时间。 数据管理。人力资源技术解决方案可保持企业专业人员数据的准确性和时效性,从而更好地进行决策和报告。 合规管理。人力资源软件让您轻松遵守最新法规和劳动法。 自助门户。人力资源技术允许员工通过自助门户访问人力资源信息、申请休假和更新个人资料,从而提高了运营效率。 分析和报告。人力资源技术通过数据分析工具深入洞察劳动力趋势,帮助企业做出明智、数据驱动的决策。 招聘和人才管理。许多人力资源工具都具有申请人跟踪、候选人评估和人才管理功能,使招聘和组织劳动力管理变得更加容易。 绩效管理。一些人力资源系统支持绩效评估、目标设定和反馈流程,帮助专业人员发挥最佳水平。 学习与发展。学习管理系统(LMS)等解决方案可让团队成员获得教育资源,并帮助人力资源部门创建和管理专业培训计划。 人力资源运营是现代组织不可或缺的一部分。它能确保公司日常工作的顺利进行,并极大地促进积极的工作环境。最重要的是,它有助于提高工作满意度、提高生产率、改善业务绩效--使专业人员和整个公司蓬勃发展。 以下为文章原文: What is HR operations? Human resources operations (not to be confused with people operations) is a crucial function within an organization, managing the administrative and practical aspects of day-to-day HR activities. HR operations is the backbone of the HR department, ensuring various HR processes and systems run smoothly—including recruitment, onboarding, payroll administration, employee relations, compliance, and more. What are HR operations’ goals? Efficiency and accuracy. To optimize HR processes, reduce manual tasks, and minimize errors in HR operations. Compliance. To ensure compliance with labor laws, regulations, and company policies so that there’s less legal risk. Good employee relations. To create positive relationships that support an organization’s people, helping them to perform at their best. Scalability. To enable an organization’s people to grow along with the company so the workforce can continue to meet the business’s changing needs. What are HR operations’ responsibilities? Onboarding and offboarding. Managing the entire employee lifecycle, from hiring to exit processes. Payroll and benefits administration. Handling compensation and benefits for professionals, ensuring accurate and timely payroll processing. Data management. Maintaining records and data accuracy, as well as protecting sensitive information. Compliance and legal. Making sure HR processes comply with labor laws, regulations, and company policies. Workforce planning. Assisting with an organization’s overall HR strategy, including workforce planning, succession, and recruitment. Training and development. Managing training programs, tracking people’s progress, identifying areas for improvement, and creating opportunities for career progression. Conflict resolution. Handling disputes among professionals. Health and safety. Supporting people’s wellbeing with a safe and healthy work environment by establishing safety policies and reporting processes, as well as conducting training. HR tech management. Implementing and overseeing software tools such as human resource information systems (HRIS), performance management software, and applicant tracking tools. What is the role of an HR operations manager? The HR operations manager oversees the day-to-day running of all HR operations (while the HR operations director focuses on the overall strategy). They collaborate with other HR leaders to make sure all processes align to further the company’s goals. They supervise HR staff and HR operations specialists, ensuring that work is completed. The HR operations manager also provides people with any support they may need. They extend this support to people across the organization—addressing complex HR issues and offering guidance. The HR operations manager identifies opportunities to implement HR best practices, boosting efficiency and reducing operational costs. They analyze the available HR data to make decisions on resource allocation and workforce planning and implement HR technology solutions to increase automation. It’s also the HR operations manager’s responsibility to stay up to date on relevant laws and regulations to ensure compliance. What is an HR operations manager’s salary? The salary of an HR operations manager varies based on experience, location, organization size, and industry. But, on average, they earn around US$123,000 per year in the United States, £64,495 in the United Kingdom, and A$130,000 in Australia, for example. Highly experienced managers in large organizations can earn more than that—up to US$164,000, £75,000, and A$152,500 in fact—while those in smaller companies, or with less experience, usually earn around US$87,000, £47,000, or A$115,800. Location has a strong influence on salary levels, with larger cities generally offering higher compensation. How can HR tech help with HR operations? HR technology forms an integral part of HR operations because it comes with many benefits: Automation. HR tech automates repetitive tasks like payroll processing, onboarding, and benefits administration, freeing up time HR professionals typically spend on admin. Data management. HR tech solutions keep data on an organization’s professionals accurate and up to date, enabling better decision-making and reporting. Compliance management. HR software makes it easy to stay compliant with the latest regulations and labor laws. Self-service portals. HR tech improves operational efficiency by allowing people to access HR information, request time off, and update personal details through self-service portals. Analytics and reporting. HR tech helps organizations make informed, data-driven decisions with data analytics tools that provide in-depth insights into workforce trends. Recruitment and talent management. Many HR tools come with features for applicant tracking, candidate assessment, and talent management, making it easier to take care of recruitment and the organization’s workforce. Performance management. Some HR systems support performance assessments, goal setting, and feedback processes, helping professionals perform at their best. Learning and development. Solutions like learning management systems (LMS) give team members access to educational resources and help HR create and manage professional training programs. HR operations is integral to modern organizations. It ensures a company’s smooth day-to-day functioning and significantly contributes to a positive work environment. Most importantly, it helps increase job satisfaction, boost productivity, and improve business performance—enabling professionals and the company as a whole to thrive.
    可扩展性
    2024年02月28日