An interactive business intelligence dashboard built in Power BI analyzing sales, profit, and regional performance of a retail superstore across 4 years of data.
- Which region generates the highest sales?
- How has revenue trended year over year?
- Which product category is most profitable?
- Where are the losses occurring?
| Visual | Type | Insight |
|---|---|---|
| Total Sales | KPI Card | $2.30M overall revenue |
| Sales by Region | Bar Chart | West leads all regions |
| Sales Trend (2014–2017) | Line Chart | Consistent year-on-year growth |
| Profit by Category | Donut Chart | Technology most profitable |
| Region Filter | Slicer | Interactive filter across all visuals |
- West region contributes the highest sales among all 4 regions
- Sales show a strong upward trend from 2014 to 2017
- Technology is the most profitable category
- All visuals are interactive — filtering by region updates every chart simultaneously
- Power BI Desktop
- DAX — for calculated measures
- Dataset — Sample Superstore (Kaggle)
Sample Superstore dataset — publicly available on Kaggle. Contains 9,994 rows of retail transaction data including orders, customers, products, sales, profit, and shipping details across the United States.
| File | Description |
|---|---|
Superstore_Dashboard.pbix |
Power BI project file |
dashboard_preview.png |
Screenshot of the dashboard |
Superstore_Dashboard.pdf |
Exported PDF version |
- Download and install Power BI Desktop (free)
- Clone this repo or download the
.pbixfile - Open
Superstore_Dashboard.pbixin Power BI Desktop - Interact with the slicers and visuals
Rakshaiya Yadav G
- GitHub: @Rakshaiya
- Email: rakshaiya115@gmail.com