Talent analytics, also known as HR analytics or people analytics, has become a transformative tool for modern organizations aiming to enhance recruitment quality and optimize workforce planning. This study examines how data-driven HR practices improve hiring accuracy, reduce turnover, and support long-term manpower forecasting. Using survey responses from 160 HR professionals across IT, banking, manufacturing, and service sectors, combined with interviews from 10 senior HR leaders, the research evaluates the impact of analytics-based recruitment tools, predictive hiring models, and employee performance dashboards. Findings reveal that organizations utilizing talent analytics achieve 27–35% higher recruitment accuracy, significantly lower hiring costs, and better alignment between job roles and candidate competencies. Predictive workforce planning models were shown to minimize understaffing and overstaffing issues by improving demand forecasting. The study concludes that integrating analytics into HR decision-making enhances strategic workforce management and strengthens organizational competitiveness.