I completed an end-to-end data analysis project using the World Wide Importers dataset World Wide Importers, starting from raw data processing in Excel and ending with an interactive Power BI dashboard.
Work Completed:
Cleaned and structured raw data using Excel functions and techniques
Built a data model and established relationships between tables
Created key performance indicators (KPIs) and calculated measures
Designed an interactive Power BI dashboard to extract actionable business insights
Key Insights:
Clear variation in performance across different product categories
A small number of products generate the majority of revenue and profit (80/20 principle)
Several low-performing products were identified and require optimization or review
Revenue is highly dependent on a limited group of key customers
Business Recommendations:
Focus on scaling high-performing products to maximize profitability
Reprice, reduce, or optimize underperforming products
Strengthen customer retention strategies for high-value clients
Improve inventory planning based on demand analysis and trends
Skills Applied: Excel • Data Cleaning • Data Modeling • Power BI • DAX Measures • Business Analysis • Dashboard Design