The article focuses on exploring various decision-making styles and the evolution of decision support systems, including model-driven, data-driven, communication-driven, document-driven, and knowledge-driven systems. It highlights the increasing reliance on technology in decision-making processes and compares traditional data analysis methods with modern ones, using industry-specific examples.