Journal of Data Mining and Knowledge Engineering ISSN: 3139-5341 (Online)

Abstract

Big Data has transformed the decision-making landscape in business intelligence (BI), offering organizations the ability to process vast volumes of data for actionable insights. This paper explores advanced data mining techniques such as clustering, association rule mining, and deep learning, emphasizing their integration into BI frameworks. It examines how these methods facilitate predictive analytics, improve customer segmentation, and optimize resource allocation. The challenges of Big Data, including data quality and computational complexity, are discussed alongside strategies to overcome them. Case studies and visualizations illustrate practical applications, demonstrating the profound impact of Big Data mining on modern BI.

Keywords: Big Data, Business Intelligence, Data Mining, Predictive Analytics, Clustering, Decision-Making, Deep Learning, Resource Optimization