Route Profitability Analysis in Air Cargo Operations Using Microsoft Power BI

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.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-05-19
DOI
https://doi.org/10.5281/zenodo.20282872
Primary Topic
Aviation Industry Analysis and Trends
Type
article
Field-Weighted Citation Impact
0.00
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article

Route Profitability Analysis in Air Cargo Operations Using Microsoft Power BI

Tahir Aziz Abdul Aziz
Zenodo (CERN European Organization for Nuclear Research)
Aviation Industry Analysis and Trends
article

Route Profitability Analysis in Air Cargo Operations Using Microsoft Power BI

Tahir Aziz Abdul Aziz
article en

Abstract

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.

Zenodo (CERN European Organization for Nuclear Research)
American Airlines (United States) (US)
Decent work and economic growth
Openalex Percentile: Top 2%
Aviation Industry Analysis and Trends
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