Aeronautical Intelligence and Asset Management Dashboard

This project presents the development of a Business Intelligence solution aimed at the strategic management of aeronautical assets, using a completely fictional and synthetic dataset generated in Python to simulate real operations. The tool centralizes visibility over the operational and financial performance of the fleet, covering the complete cycle of dimensional modeling from multiple data sources (Flights, Revenues, Maintenance, and Utilization). The goal is to transform raw flight records into immediate insights for flight network optimization and maximization of profitability per aircraft.

The implementation of this solution allowed joining the technical rigor of modeling with the strategic vision of management, facilitating the quick identification of aircraft and routes with poor financial performance. Through the stratified analysis of cancellations by reason (technical, meteorological, or crew), the dashboard makes it possible to financially quantify the opportunity cost and the impact of idleness on the fleet. The direct impact is more assertive decision-making regarding pricing, efficient resource allocation, and continuous improvement projects based on the rigor of cross-referenced operational and financial data.

Key Highlights

• Integrated Operational & Financial View: Dynamic monitoring that connects operational KPIs of Regularity (%) and Punctuality (%) directly to Profit Margin and Revenue per Flight Hour results.
• Impact Diagnosis by Cancellations: Detailed analysis of flight interruption reasons to financially quantify the opportunity cost resulting from failures or external factors.
• Asset Profitability Ranking: Precise identification of Net Profit and Margin by aircraft registration, fundamental for strategic decisions about maintenance, fleet renewal, or expansion.
• Robust and Synthetic Data Modeling: Advanced dimensional structure in Power BI, based on a scalable data model created via Python to simulate the complexity of real aviation systems.