This paper proposes a comprehensive model for a real-time Key Performance Indicator (KPI) monitoring dashboard designed specifically to track merchant activity within financial applications. Recognizing the growing demand for instantaneous, accurate insights, the model integrates multi-source data ingestion, advanced stream processing, and interactive visualization using Business Intelligence tools to provide continuous, actionable intelligence. The architecture emphasizes scalability, low latency, and security, ensuring reliable delivery of critical merchant performance metrics while safeguarding sensitive financial information. By addressing challenges such as data accuracy, user interface usability, and privacy concerns, the model offers a practical framework that enhances operational oversight, risk management, and regulatory compliance. Theoretical contributions include a holistic approach combining data processing, analytics, and user-centered design tailored for the dynamic environment of financial transactions. Practical implications highlight the model’s adaptability to diverse organizational contexts and its potential to support agile decision-making and fraud prevention. The paper concludes with recommendations for future research to empirically validate the model and explore integration with emerging technologies, underscoring its significance in advancing real-time financial monitoring capabilities.
Olinmah et al. (Fri,) studied this question.