This is a Sales Distribution Analysis Dashboard, which visually represents sales performance across various metrics. Here’s a breakdown of the key components:
Power BI File dataset can be downloaded here : https://github.com/slidescope/Sales-Distribution-Analysis-Power-BI/tree/main
Key Metrics (Top Section)
- Revenue: 1.45M – The total revenue generated.
- Units Sold: 2754 – The total number of units sold.
- Sales Target: 1.42M – The predefined target for sales.
- Count of Sales: 500 – The total number of sales transactions.
Visualizations
- Revenue and Target by Month (Bar & Line Chart)
- Displays monthly revenue performance against sales targets.
- Green bars represent revenue, and the blue line shows the sales target trend.
- Top 5 Customers by Revenue (Bar Chart)
- Lists the highest revenue-generating customers.
- Customers such as Shawn Dillon and Stephanie Miller have contributed the most.
- Revenue by Product (Bar Chart)
- Highlights the sales contribution of different products.
- Laptops have the highest revenue (0.42M), followed by Smartphones and Cameras.
- Country-wise Revenue (Map)
- A geographical heatmap showing revenue distribution by country.
- North America and Asia appear to have high revenue generation.
- Country-wise Target (Donut Chart)
- Represents the percentage contribution of different countries to the total sales target.
- France (15.03%) and USA (13.0%) have the highest target allocations.
- Revenue by Region (Bar Chart)
- Shows revenue distribution across different regions.
- Europe (0.40M) leads, followed by North America (0.38M) and Asia (0.37M).
Filters & Controls
- Region Filter: Allows selecting specific regions (Asia, Europe, North America, etc.).
- Country Filter: Enables filtering by country.
- Product Filter: Users can select specific products.
Branding
- The dashboard includes a Slidescope logo, suggesting it might be designed by or for an educational or industrial training institution.
This dashboard provides a comprehensive overview of sales distribution, making it easy to analyze performance across products, regions, and customer segments.