The Role of Big Data Analytics in Enhancing Decision-Making in Operations Management

Abstract

In today’s fast-paced business environment, Big Data Analytics (BDA) plays a critical role in enhancing decision-making in Operations Management (OM). The integration of data-driven insights enables companies to optimize supply chains, improve demand forecasting, and enhance operational efficiency. This study explores the applications of BDA in OM, focusing on its impact on industries such as manufacturing, logistics, and retail. By leveraging machine learning, artificial intelligence, and predictive analytics, companies can minimize risks, reduce costs, and enhance productivity. The research highlights key challenges, including high implementation costs, data security concerns, and the need for skilled professionals. Through a mixed-methods approach, including surveys and interviews with industry experts, the study provides a comprehensive analysis of BDA’s effectiveness in improving decision-making. The findings indicate a strong positive perception of BDA’s impact on efficiency, with industries prioritizing AI and machine learning for future adoption. However, significant investment in technology and infrastructure remains a major barrier. The study concludes with recommendations for businesses, particularly SMEs, on adopting BDA with minimal resources to gain a competitive advantage.