Decision making is required by all organizations; however, the decision-making styles may differ. The most commonly used decision styles include (1) autocratic, (2) democratic, (3) consensus, and (4) participatory. With the globalization and expansion of businesses, professionals have become highly dependent upon the technology to support the decision-making process, and decision-support systems have come up as the fastest growing discipline. The present work discusses the evolution of computerized decision support, considering the (1) model-driven, (2) data-driven, (3) communication-driven, (4) document-driven, and (5) knowledge-driven decision-support systems. All three different business levels-operational, tactical, and strategic-have been considered in the present work to review the development of decision-support systems. The traditional data analysis-based approaches have been compared with the latest data analytics approaches including social media analytics and web analytics. Examples from the different industry sectors have been incorporated for better illustrations of decision support.