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HR Analytics: Leveraging Big Data for Strategic Workforce Planning
Subject area: Science,Engineering and Technology · Area of research: Talent Acquisition
Abstract
Integrating HR analytics and big data has revolutionized workforce management, transforming traditional HR functions into data-driven strategic assets. As organizations navigate an increasingly digital and competitive labor market, predictive analytics, employee sentiment analysis, and performance tracking have emerged as essential tools for optimizing talent acquisition, workforce planning, and employee retention. Advanced analytics enables companies to identify trends, manage risks, and enhance decision-making, ensuring alignment between business objectives and human capital strategies. This paper explores the profound impact of HR analytics on organizational success, emphasizing how real-time data insights contribute to improved employee engagement, equitable performance evaluations, and proactive workforce planning. Predictive modeling enables HR leaders to anticipate turnover risks, assess skills gaps, and implement targeted interventions, while AI-powered sentiment analysis provides deeper insights into employee satisfaction and well-being. Additionally, workforce data informs strategic decision-making by enabling organizations to adapt to hybrid work models, optimize resource allocation, and maintain a competitive edge in talent management. Embracing HR analytics as a core business function enables companies to drive long-term sustainability, foster an inclusive and data-driven workplace culture, and position themselves as employers of choice in an evolving labor force.
Keywords
HR Analytics, Workforce Planning, Predictive Modeling, Data-Driven Hr, Employee Retention, Talent Optimization, Sentiment Analysis, AI In HR, Strategic Workforce Management, Employee Experience.
How to cite this paper
@article{1707516,
author = {Simbiat Saliu},
title = {HR Analytics: Leveraging Big Data for Strategic Workforce Planning},
journal = {Iconic Research And Engineering Journals},
year = {2025},
volume = {8},
number = {9},
pages = {742-754},
issn = {2456-8880},
url = {https://www.irejournals.com/formatedpaper/1707516.pdf},
abstract = {Integrating HR analytics and big data has revolutionized workforce management, transforming traditional HR functions into data-driven strategic assets. As organizations navigate an increasingly digital and competitive labor market, predictive analytics, employee sentiment analysis, and performance tracking have emerged as essential tools for optimizing talent acquisition, workforce planning, and employee retention. Advanced analytics enables companies to identify trends, manage risks, and enhance decision-making, ensuring alignment between business objectives and human capital strategies. This paper explores the profound impact of HR analytics on organizational success, emphasizing how real-time data insights contribute to improved employee engagement, equitable performance evaluations, and proactive workforce planning. Predictive modeling enables HR leaders to anticipate turnover risks, assess skills gaps, and implement targeted interventions, while AI-powered sentiment analysis provides deeper insights into employee satisfaction and well-being. Additionally, workforce data informs strategic decision-making by enabling organizations to adapt to hybrid work models, optimize resource allocation, and maintain a competitive edge in talent management. Embracing HR analytics as a core business function enables companies to drive long-term sustainability, foster an inclusive and data-driven workplace culture, and position themselves as employers of choice in an evolving labor force.},
keywords = {HR Analytics, Workforce Planning, Predictive Modeling, Data-Driven Hr, Employee Retention, Talent Optimization, Sentiment Analysis, AI In HR, Strategic Workforce Management, Employee Experience.},
month = {March},
}