FULL PDF
Abstract
Big data analytics has emerged as a critical driver of business intelligence and strategic decision-making in the contemporary digital economy. The rapid expansion of data generation, fueled by advances in artificial intelligence (AI), machine learning (ML), and cloud computing, has enabled organizations to extract valuable insights from massive datasets. This paper explores the latest methodologies in big data analytics, including machine learning, deep learning, real-time processing, and data visualization, to enhance decision-making capabilities and improve business intelligence strategies. A comprehensive literature review highlights key theoretical frameworks and practical applications, with a focus on pre-2024 research findings. Through an in-depth analysis of existing and emerging techniques, this paper identifies current challenges and proposes future research directions to further leverage big data analytics in business and industry.
View more >>