Abstract:
: In today’s competitive business environment, organizations continuously seek innovative strategies
to enhance workforce productivity and optimize employee performance. One such emerging approach is Human
Resource (HR) Analytics, a data-driven methodology that enables companies to make up-to-date HR decisions.
This research examinesthe impact of Human Resource (HR) Analytics on employee job performance of a selected
Architectural Hardware Company, leading firm located in Colombo, Sri Lanka with specific focus on three critical
HR functions - Compensation and Benefits, Training and Development, and Performance Appraisals. As
companies pursue ways to optimize workforce performance, HR analytics has become a critical tool for making
data-driven decisions. Thisresearch assesses how these specific HR functions, empowered by analytics, contribute
to enhancing employee performance. Through quantitative research approach, this study gathers data from 81
employees, to explore the role of HR analytics in shaping compensation packages, training programs, and
performance evaluations. And furthermore, this study measures their perceptions of how HR analytics influences
job performance through these three HR functions. Also, this study provide insights into how data-driven decisions
are implemented compensation strategies, skill development initiatives, and performance assessments. The
findings indicate that well-structured compensation and benefits systems, targeted training programs, and data driven performance appraisals lead to higher employee satisfaction, improved performance, and better
organizational outcomes.
