Published Paper Details:

Big data's role in decision-making has transformed industries and disciplines in recent years. This comprehensive review paper aims to provide an overview of the current landscape of research and applications of big data in decision-making processes across various domains. Drawing on a systematic review of literature published in the past decade, we identify emerging trends and patterns in the utilization of big data analytics for informed decision-making. Our findings reveal that big data has led to significant advancements in predictive analytics, optimization, and real- time decision support systems. However, challenges related to data privacy, security, and ethical considerations persist. This review paper contributes to the field by consolidating current knowledge, pinpointing research gaps, and offering insights for practitioners and researchers. Our analysis underscores the transformative potential of big data in decision-making and highlights the need for ongoing interdisciplinary collaboration to address its associated challenges. The implications of this review extend to industries ranging from healthcare and finance to marketing and logistics. This work aids in framing the future trajectory of big data's role in decision-making processes.