A Study on HR Analytical Tools and Techniques

Vidya Nayak, Dr. Shankar Chaudhary, Dr. Chitralekha Kumar
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Abstract

HR Analytics simplifies data collection, interpretation, measurement, and forecasting in organizations by combining statistical techniques for data collection, interpretation, measurement, and forecasting. It aims to enhance the utilization of data analytics in HR management actions, specifically in relation to tools and techniques with reference to employee attrition. Recent literature has reported that implementation of HR analytics helps in identifying employee attrition patterns, hiring timelines, productivity costs, and the impact of learning and development on performance. While the study suggests that a modern, innovative, and competitive workplace is being driven by performance expectations, which is why HR analytics is becoming more and more important in firms, it will also examine the advantages and challenges of HR analytics. This is a theoretical paper, and the purpose of this paper is to study the literature available on HR analytics tools and types of HR analytic techniques. The study is done based on secondary data from published research papers, journals, blogs, and websites from the period of 2017-2023.
人力资源分析工具和技术研究
人力资源分析通过结合数据收集、解释、测量和预测的统计技术,简化了组织中的数据收集、解释、测量和预测工作。其目的是在人力资源管理行动中加强对数据分析的利用,特别是与雇员流失有关的工具和技术。最近有文献报道,实施人力资源分析有助于确定员工流失模式、招聘时间表、生产成本以及学习和发展对绩效的影响。本研究认为,现代、创新和具有竞争力的工作场所是由绩效期望驱动的,这也是人力资源分析在企业中变得越来越重要的原因,同时本研究还将探讨人力资源分析的优势和挑战。这是一篇理论性论文,本文旨在研究有关人力资源分析工具和人力资源分析技术类型的现有文献。研究基于 2017-2023 年期间发表的研究论文、期刊、博客和网站的二手数据完成。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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