Theoretical approaches to data analytics and decision-making in finance: Insights from Africa and the United States

Abstract

This review paper presents a comparative analysis of theoretical approaches to data analytics and decision-making in the finance sectors of Africa and the United States. It explores how these approaches are adopted and implemented, considering each region's unique economic, technological, and regulatory environments. The paper identifies challenges and opportunities presented by these environments. It examines the influence of cultural and economic factors on the preference for certain theoretical models. It discusses practical implications for financial analysts, investors, and policymakers. It provides policy recommendations to foster an environment supportive of effective financial decision-making practices. The paper also speculates on the future of finance, suggesting areas for further research, including the empirical validation of theoretical approaches.