IdoTreibatch/supply-chain-analysis-assignment
Supply Chain Disruption & Recovery Analysis 🎥 Presentation Video 📊 Project Overview This project explores a dataset of 100,000 supply chain disruption events. The goal is to identify key factors influencing financial loss and recovery time. Key Insights from EDA: Costliest Disruption: Cyber Attacks result in the highest average revenue loss. Production Impact: There is a strong correlation (0.76) between disruption severity and… See the full description on the dataset page: https://huggingface.co/datasets/IdoTreibatch/supply-chain-analysis-assignment.
Supply Chain Disruption & Recovery Analysis
🎥 Presentation Video
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📊 Project Overview
This project explores a dataset of 100,000 supply chain disruption events. The goal is to identify key factors influencing financial loss and recovery time.
Key Insights from EDA:
- Costliest Disruption: Cyber Attacks result in the highest average revenue loss.
- Production Impact: There is a strong correlation (0.76) between disruption severity and production impact.
- Outliers: Significant outliers were found in financial loss and recovery days. We decided to keep them as they represent critical "Black Swan" events essential for risk assessment.
🛠️ Data Handling
- Cleaning: No missing values or duplicates were found.
- Normalization: All dates were parsed into datetime objects.
- Visualizations: Boxplots were used for outlier detection, and Heatmaps for correlation analysis.