Sales performance and Discount impact analysis using Advanced Excel Dashboards.
This project analyzes a retail Superstore dataset to understand sales performance and the impact of discount levels on profitability. The analysis was performed using Microsoft Excel with Pivot Tables, Pivot Charts, and interactive dashboards.
- Microsoft Excel
- Pivot Tables
- Pivot Charts
- Slicers
- Data Cleaning Techniques
The dataset used is the Sample Superstore dataset which contains order-level information including sales, profit, discount, region, category, and customer segment.
The following cleaning steps were performed:
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Checked for missing values using Go To Special (Ctrl + G)
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Replaced missing postal codes with 0
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Verified consistency of categorical fields
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Hid unnecessary sheets (People and Returns)
GitHub cannot preview Excel dashboard files directly.
To view the dashboards:
- Download the Excel file from this repository.
- Open the file in Microsoft Excel.
- Navigate to the following sheets:
- Sales Performance Dashboard
- Discount Impact Dashboard
This dashboard analyzes:
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Total Sales
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Total Profit
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Profit Margin
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Total Orders
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Sales by Segment
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Sales and Profit by Category
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Sales and Profit by Region
This dashboard analyzes:
- Profit margin across different discount bands
- Category-level discount impact
- Profit margin by region
- High discount levels significantly reduce profit margins.
- Technology category generates the highest profit margin.
- West region shows the highest profitability.
- Low discount ranges (0–20%) maintain healthy profit margins.
Pushpalatha