Abstract :
Abstract In today's competitive business landscape, optimizing organizational efficiency is paramount. This paper proposes an integrated approach leveraging business analytics and machine learning to predict employee performance, thereby enhancing decision-making processes and resource allocation. We present a comprehensive methodology, evaluate its efficacy through empirical results, discuss key insights, address challenges, and propose strategic treatments. By integrating data-driven techniques, organizations can gain actionable insights to foster a more productive workforce and achieve sustainable growth.
Keyword :
Keywords: Business analytics, Machine learning, Employee performance prediction, Organizational efficiency, Decision-making, Resource allocation