Predictive Analytics in HR: Leveraging AI for Data-Driven Decision Making

Authors

  • Khadijat Oyindamola Alabi Department of Management, Marketing and Professional Sales, Cotsakos College of Business, William Paterson University of New Jersey, Wayne, New Jersey, United States of America
  • Adegoke A. Adedeji Department of Public Administration, Faculty of Science, National Open University of Nigeria, Nigeria
  • Samia Mahmuda Department of Management, Marketing and Professional Sales, Cotsakos College of Business, William Paterson University of New Jersey, Wayne, New Jersey, United States of America
  • Sunday Fowomo Department of Economics, Faculty of Social Sciences, Lagos State University, Lagos, Nigeria

Keywords:

Data-driven, Decision making, Employee engagement, Integrating AI, Machine Learning, Power of AI, Predictive analytics, Retention, Recruitment processes, Training programs

Abstract

Predictive analytics in HR is a rapidly evolving field that leverages artificial intelligence and data-driven decision-making to revolutionize the way HR decisions are made. By utilizing advanced algorithms and machine learning techniques, HR professionals can now predict future outcomes with greater accuracy, leading to more informed and strategic decision-making. Through predictive analytics, HR departments can forecast employee turnover, identify high-potential candidates, and even anticipate future skill gaps within the organization. This valuable insight allows HR leaders to proactively develop retention strategies, succession plans, and targeted training programs to address potential gaps in the workforce. Furthermore, predictive analytics enables HR to optimize recruitment processes by identifying the most effective sources for talent acquisition, improving candidate selection processes, and enhancing overall workforce planning. By harnessing the power of AI and data-driven insights, HR can align their strategies with organizational goals, maximize employee productivity, and drive overall business success. By integrating AI and predictive analytics into their HR processes, organizations can make data-driven decisions that lead to improved hiring outcomes, increased employee engagement, and enhanced work delivery. With the help of predictive analytics, organizations can make immediate decisions based on real-time data and also forecast future requirements.

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Published

28-04-2024

Issue

Section

Articles

How to Cite

[1]
K. O. Alabi, A. A. Adedeji, S. Mahmuda, and S. Fowomo, “Predictive Analytics in HR: Leveraging AI for Data-Driven Decision Making”, IJRESM, vol. 7, no. 4, pp. 137–143, Apr. 2024, Accessed: Dec. 14, 2024. [Online]. Available: https://journal.ijresm.com/index.php/ijresm/article/view/3013