This article covers various terminologies and methods used in advanced data analytics, including trend analysis, behavioral analytics, contextual data, data visualization, risk analysis, and critical evaluation of common data analytics methods. It also highlights the importance of data analytics in improving efficiency, market understanding, cost reduction, and decision-making. Additionally, it explores the evaluation of analytical models data preparation processes, issues in data presentation, and visualization methods.