Optimizing Organizational Performance: A Data-Driven Approach in Management Science

Abstract

In today's dynamic and competitive business environment, organizations seek ways to enhance their performance and gain a competitive edge. This paper explores the significance of a data-driven approach in management science for optimizing organizational performance. Through the utilization of advanced data analytics, organizations can harness valuable insights from their operational data to make informed decisions, improve efficiency, and drive strategic initiatives. This paper examines the theoretical foundations, practical applications, and challenges associated with implementing a data-driven approach in management science. Additionally, it discusses the implications of leveraging big data, artificial intelligence, and machine learning techniques to enhance organizational performance.