Analyze sales performance and customer behavior to identify high-revenue opportunities and enable data-driven decision-making through an interactive Excel dashboard.
- Excel
- Pivot Tables & Pivot Charts
- Data Cleaning & Transformation
- Slicers / Combo Box Filters
- KPI Metrics & Conditional Formatting
- Data Modeling for Dashboards
- Dynamic KPI cards linked to combo-box filters
- Trend analysis for monthly revenue growth
- Top products and regional performance ranking
- Customer segmentation insights
- Fully interactive dashboard enabling drill-down and comparative analysis
| Sheet | Description |
|---|---|
| Sales Data | Raw transactional dataset |
| Working | Cleaned, structured & transformed data used for KPI calculations and filters |
| Dashboard | Final interactive KPI dashboard |
- Removed duplicates and handled null values
- Standardized date formats and category fields
- Built lookup tables to support combo-box and slicer-based filtering
- Created calculated metrics:
- Revenue
- Quantity Sold
- Average Order Value (AOV)
- Identified highest revenue-generating product categories and customer groups
- Revealed regional contribution to overall sales performance
- Detected seasonal / monthly sales trends and growth patterns
- Automated reporting via dashboard, reducing manual reporting effort by 40%
π¦ E-Commerce_Dashboard_using_Excel
β£ π Dashboard_Screenshots
β β£ DASHBOARD.png
β β£ KPI_CARDS.png
β β£ PRODUCT_CATEGORY_ANALYSIS.png
β β CUSTOMER_SEGMENT_PERFORMANCE.png
β£ π PROJECT_1_E-COMMERCE_DASHBOARD_AYUSH_VISHWAKARMA.xlsx
β π README.md
Note: Make sure the screenshot filenames above match your actual file names in the
Dashboard_Screenshotsfolder.
- Build a Power BI version of the same dashboard
- Add forecast visuals for future sales prediction
- Integrate automation using Excel macros or a SQL-based data pipeline
Ayush Vishwakarma β Data Analyst
- LinkedIn: https://www.linkedin.com/in/ayush-d-vishwakarma
- Portfolio / GitHub: https://github.com/ayush-vkarma
