Strategic Insights: Maximizing Organizational Efficiency through an Integrated Approach of Business Analytics and Machine Learning for Employee Performance Prediction

Authors

  • Jack Carl, Jimmy Dean Department of Computer Science, University of Haustella

Keywords:

Business analytics, Machine learning, Employee performance prediction, Organizational efficiency, Decision-making, Resource allocation

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.

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Published

2024-02-10