I recently worked on a retail sales dataset to demonstrate how raw business data can be transformed into useful insights.
My process included:
✅ Data cleaning and validation
✅ Revenue calculations
✅ Sales performance analysis
✅ Product and store analysis
✅ Excel/Power BI visualization
✅ Identifying actionable business insights
The analysis answers questions such as:
• Which store generates the most revenue?
• Which products drive sales?
• Which products sell the most units?
• Which salesperson performs best?
• How do sales change over time?
Tools: Excel | Power BI | Python/Pandas | SQL
Clean data is the foundation. Good analysis turns that data into decisions.