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This Power BI project analyzes sales data from a Superstore dataset. It provides interactive visuals and insights into business performance across segments, categories, time periods, and geographies — plus a 15-day forecast with seasonal trends.
The dashboard is organized into multiple interactive pages, each accessible via navigation buttons:
| Section | Description |
|---|---|
| Overview | KPIs and sales by segment, category, and region |
| Region | Sales performance by state, city and region, with profit and growth comparison |
| Product | Insights into sub-categories, best/worst products, and profit contribution |
| Seasonality | Seasonal trend breakdown and top-performing time periods. 15 day forecast |
- Total Sales: 1.34M
- Total Profit: 174.30K
- Total Transactions: 3,000
- Gross Margin: 0.13
- YoY Sales Growth: 1.20
- Interactive slicers for Year, Segment, Category, Ship Mode, Region
- Reset all filters button on each page
- Forecast with adjustable seasonality
- Card metrics for Top 3 Days, Weeks, Months
- Color-coded charts and dynamic filters
- Export-ready layout for clean PDF or print view
- Power BI Desktop
- DAX for KPIs and ranking (TopN, CONCATENATEX)
- Power Query for data cleaning
- Forecasting via analytics pane with custom seasonality