A Review of Business Analytics Methods

Abstract

Business Analytics (BA) has become an essential discipline for organizations seeking to improve decision-making, operational efficiency, and competitive advantage. By systematically analyzing data using statistical, computational, and machine learning techniques, business analytics enables organizations to transform raw data into actionable insights. This review paper examines the major business analytics methods, including descriptive, diagnostic, predictive, and prescriptive analytics. It synthesizes existing literature to analyze their applications, tools, and impact on organizational performance. A comparative analysis highlights differences among analytics approaches, while the discussion addresses challenges, technological advancements, and future trends. The review concludes by emphasizing the strategic importance of integrated business analytics methods in data-driven organizations.