Theoretical approaches to data analytics and decision-making in finance: Insights from Africa and the United States
1 Independent Researcher, United Kingdom.
2 Independent Researcher, New York, USA.
3 Independence Researcher, Addison, Texas.
Review Article
GSC Advanced Research and Reviews, 2024, 18(03), 343–349.
Article DOI: 10.30574/gscarr.2024.18.3.0114
Publication history:
Received on 01 February 2024; revised on 13 March 2024; accepted on 15 March 2024
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.
Keywords:
Data Analytics; Decision-Making; Finance; Africa; United States; Theoretical Approaches
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Copyright information:
Copyright © 2024 Author(s) retain the copyright of this article. This article is published under the terms of the Creative Commons Attribution Liscense 4.0
