This research paper presents a comprehensive analysis of route profitability in air cargo operations using Microsoft Power BI as a business intelligence platform. The study develops a structured, data-driven approach to evaluate the financial performance of cargo routes, enabling informed decision-making in network planning and operational strategy. By leveraging interactive dashboards and analytical models, the research demonstrates how business intelligence tools can enhance visibility into route performance and support efficient planning processes. The study further explores the application of data analytics in optimizing air cargo operations by identifying profitability trends and improving resource utilization. It highlights the growing importance of digital tools in aviation planning and provides practical insights for enhancing decision-making in a competitive and dynamic operating environment. This work contributes to the field by offering a scalable and analytical framework applicable to airlines and logistics operators.
Tahir Aziz Abdul Aziz (Tue,) studied this question.