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     2026:7/1

Journal of Frontiers in Multidisciplinary Research

ISSN: 3050-9718 (Print) | 3050-9726 (Online) | Impact Factor: 8.10 | Open Access

Designing Financial Intelligence Systems for Real-Time Decision-Making in African Corporates

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Abstract

In the rapidly evolving business landscape of Africa, corporates face increasing pressure to make swift, data-driven decisions in order to remain competitive and agile. Traditional financial management systems, often siloed and reactive, struggle to meet the demands for real-time, informed decision-making. This explores the design and implementation of financial intelligence systems (FIS) tailored for African corporates, drawing from a systems thinking approach that integrates finance, planning, and infrastructure divisions. By adopting a holistic perspective, these systems enable organizations to break down silos, align financial goals with strategic objectives, and optimize resource allocation across departments. This outlines key components of a successful financial intelligence system, including real-time analytics, data integration, business intelligence tools, and automation. Emphasis is placed on the need for scalable and secure solutions that not only meet the immediate needs of finance teams but also support long-term growth. Additionally, this discusses the crucial role of dashboards and visualization tools in enhancing real-time decision-making by providing clear, actionable insights for executives and managers. Through the lens of systems thinking, this highlights the interdependencies between finance, planning, and infrastructure, and how aligning these areas can lead to improved forecasting, proactive risk management, and better strategic alignment. This also addresses the challenges African corporates face in implementing such systems, including technological barriers, skills gaps, and resistance to change, and suggests ways to overcome them. Finally, this discusses future trends in financial intelligence systems, including the potential for AI-driven predictive analytics, mobile technology, and blockchain integration. The findings emphasize the transformative potential of financial intelligence systems in driving operational efficiency and enhancing decision-making across African businesses.

How to Cite This Article

Benedict Ifechukwude Ashiedu, Ejielo Ogbuefi, Uloma Stella Nwabekee, Jeffrey Chidera Ogeawuchi, Abraham Ayodeji Abayomi (2023). Designing Financial Intelligence Systems for Real-Time Decision-Making in African Corporates . Journal of Frontiers in Multidisciplinary Research (JFMR), 4(2), 68-81. DOI: https://doi.org/10.54660/.JFMR.2023.4.2.68-81

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