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README.md

Global Logistics Performance Dashboard | SQL + Power BI

Dashboard Screenshot

Note: Also listed as “Global Logistics Performance Dashboard” on my resume and LinkedIn profile.

Tool Tool Tool Focus Focus Dataset

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.


📚 Table of Contents


Objectives 🎯

  • Evaluate global logistics infrastructure performance from 2010 to 2023.
  • Identify countries with the strongest and weakest logistics scores.
  • Recommend regional improvements for trade optimization.

Tools & Technologies 🛠️

Tool Use Case
SQL Data queries, segmentation, filtering
Power BI KPI dashboards, reporting, visuals
Excel Data cleaning, transformation, metrics

Key Insights 📈

  • 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.

Report Access 📄


Project Files & Instructions 📂

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

Conclusion & Recommendations 💡

  • 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.

Final Thoughts 📝

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.