Business Intelligence Revolution: Leveraging Machine Learning and Analytics for Enhanced Employee Performance Prediction in Organizations


  • Grady Paul, David Ryan Department of Computer Science, University of Multan


Business Intelligence, Machine Learning, Analytics, Employee Performance Prediction, Organizational Success


In today's competitive business landscape, maximizing employee performance is crucial for organizational success. This paper explores the integration of machine learning and analytics within the realm of business intelligence to predict and enhance employee performance. By leveraging data-driven insights, organizations can optimize their workforce strategies, improve decision-making processes, and foster a culture of continuous improvement. This paper presents a comprehensive analysis of methodologies, results, discussions, challenges, treatments, and conclusions regarding the implementation of machine learning algorithms and analytical techniques for predicting employee performance in organizations.