Note: Also listed as “Global Logistics Performance Dashboard” on my resume and LinkedIn profile.
This project analyzes international logistics capabilities based on the World Bank's Logistics Performance Index (LPI). It highlights year-over-year trade efficiency trends and regional infrastructure gaps using SQL and Power BI.
- Objectives
- Tools Used
- Key Insights
- Report_Access
- Project Files & Instructions
- Conclusion & Recommendations
- Final Thoughts
- Evaluate global logistics infrastructure performance from 2010 to 2023.
- Identify countries with the strongest and weakest logistics scores.
- Recommend regional improvements for trade optimization.
| Tool | Use Case |
|---|---|
| SQL | Data queries, segmentation, filtering |
| Power BI | KPI dashboards, reporting, visuals |
| Excel | Data cleaning, transformation, metrics |
- Top performers: Germany, Singapore, Netherlands led in infrastructure & customs.
- Bottom 5 LPI countries averaged <45% in customs scores, delaying shipments by 6+ days.
- LPI Global Trend: Overall improvement in LPI from 2010 to 2023.
- Customs & Timeliness were most volatile dimensions year-over-year.
| File Name | Description |
|---|---|
Logistics_Performance_Analysis_Report.docx |
Final project report with insights & recommendations |
Logistics_Performance_Analysis_Report.pdf |
Final project report with insights & recommendations |
Logistics_Performance_Dashboard.pbix |
Power BI dashboard for visualizing LPI trends |
Logistics_Performance_Dashboard.png |
Static image preview of the Power BI dashboard |
Cleaned_Logistics_Dataset.xlsx |
Cleaned dataset used for analysis (Excel format) |
Cleaned_Logistics_Dataset.csv |
Cleaned dataset in CSV format |
logistics_analysis_queries.sql |
SQL queries used in the analysis |
README_Logistics_Performance_Analysis.md |
This README file |
- Prioritize Infrastructure Investment: Focus on low-performing countries with poor LPI customs scores.
- Streamline Border Procedures: Enhance customs clearance and reduce time-to-ship delays.
- Leverage Global Leaders: Model supply chain policies after top LPI-ranked nations.
This project reflects competencies required by Operations Analysts and Business Analysts, with a global perspective on performance benchmarking, KPI tracking, and regional improvement planning using data tools.
⚠️ This project is part of a business-focused analytics portfolio designed to support CRM, operations, and BI roles. For more projects, visit my main GitHub portfolio.
