Scenario

As part of a strategic initiative, Boeing, one of the world’s leading aerospace manufacturers, aims to improve the quality, efficiency, and profitability of its commercial aircraft division. Boeing wants to harness internal data across engineering, operations, customer relationships, and finance to gain a 360° view of its aircraft lifecycle, flight performance, customer activity, and corporate financial health.

Objectives

• Track the performance and reliability of Boeing aircraft models
• Analyze global customer engagement and order patterns
• Monitor flight operations and fuel efficiency
• Evaluate financial health using key metrics like ROI and R&D intensity
• Identify trends in malfunctions and maintenance costs

This project supports Boeing’s broader goals of improving product reliability, maximizing operational efficiency, and driving strategic innovation based on data.

Data Structure

The project integrates multiple datasets to capture a complete view of Boeing’s commercial aircraft division:

• Aircraft performance – deliveries, flight hours, reliability, malfunction logs
• Customer and orders – airline purchases, cancellations, regional activity
• Financial data – revenues, margins, R&D investments, ROI
• Operational metrics – maintenance costs, fuel usage, efficiency indicators

Business Questions Solved

• Which aircraft models are the most reliable and cost-efficient?
• What are the most common malfunctions, and how do they vary by aircraft type?
• How do airline order patterns differ across regions and customer groups?
• Which customers generate the highest long-term value for Boeing?
• How do R&D investments affect performance and profitability outcomes?
• What is the long-term ROI across different aircraft models?

Tools & Technologies Used

• MySQL Workbench → for schema design and SQL querying
• SQL → for querying and analysis
• Excel → for sample data and reports
• Power BI → for creating dashboards & visualizations

Business Impact & Insights

• Help Boeing improve aircraft reliability by analyzing malfunction trends
• Reduce maintenance costs through predictive insights on parts and repair times
• Enable strategic customer targeting through detailed order and industry analysis
• Drive executive financial decisions with in-depth profitability and ROI metrics
• Support Boeing’s innovation efforts by linking R&D investments to performance outcomes

Code & Dashboard

• GitHub