Organization success in workforce management has advanced through Human Resource technology developments that optimize processes and boost decision quality and deliver better employee experiences. The foundation of this evolutionary process rests on people analytics whose data-driven approach generates informative knowledge about recruitment and retention strategies as well as employee morale maintenance and staff development planning systems. This document investigates the HR system technology evolution together with people analytics analysis in their contribution to contemporary human resource management practices. The research uses multiple methods which include extensive studies of research literature as well as specific case examples alongside an analysis of current tendencies to reveal organizations' process of implementing analytics-based strategy improvements for workforce optimization. The analysis covers problems relating to data privacy together with workforce opposition to changes and the expenses linked to implementations. The implementation of AI alongside cloud computing and predictive analytics provides HR professionals with better sources for making their decisions. Organizations which implement these tools effectively sustain their workforce along with boosting productivity and developing agility at work. Businesses need to overcome two main challenges which include fair data practices and operational readiness of employees to adopt emerging technology systems. Organizations that adopt HR technology and conduct people analytics will obtain marketplace benefits which support the creation of an engaged productive workforce.
HR technology transformation, people analytics, workforce management, digital HR, employee engagement, HR analytics.
IRE Journals:
Nazia Tasleem
"HR Technology Transformation and the Impact of People Analytics on Workforce Management" Iconic Research And Engineering Journals Volume 8 Issue 9 2025 Page 702-716
IEEE:
Nazia Tasleem
"HR Technology Transformation and the Impact of People Analytics on Workforce Management" Iconic Research And Engineering Journals, 8(9)