This report, prepared for a BSc (Hons) Business Management course, provides a comprehensive overview of Big Data analysis. It begins with an introduction to Big Data, defining it as a large activity cycle that analyzes vast information to reveal data for informed business decisions, including market trends and customer satisfaction. The report details the characteristics of Big Data, following the 'V's: Volume, Variety, Velocity, and Value. It then addresses the challenges of Big Data analytics, such as the shortage of skilled professionals, issues in data collection, and security concerns. The report explores various techniques for analyzing Big Data, including A/B testing, information fusion, statistical methods, machine learning, natural language processing, and data mining. Finally, it explains how Big Data technology supports businesses by improving product quality, securing information, aiding in business forecasting, optimizing resource use, and attracting potential customers. The report includes a digital poster in the appendix summarizing the key points, and it cites several relevant academic references. This report is submitted by a student and available on Desklib, a platform offering AI-based study tools for students.