VedikaSankhe/superstore-sales-dashboard-tableau
Interactive Tableau dashboard for analyzing Superstore sales, profit trends, top products, customer segments, and regional performance.
π Superstore Sales & Profit Performance Dashboard
π Overview
In the world of retail, data-driven decisions are the difference between growth and stagnation. This project showcases a comprehensive Tableau dashboard that transforms raw sales data into clear, actionable insights.
The dashboard tells the story of a fictional Superstore, revealing:
- How sales and profit evolve over time
- Which regions and products drive growth
- What segments contribute most to business success
π Designed with interactivity, clarity, and real-world decision-making in mind, this dashboard empowers analysts, managers, and stakeholders to unlock the why behind the numbers.
π¦ Dataset Details
- Source: Kaggle - Sales Forecasting Dataset
- Records: ~10,000 rows
- Key Columns:
Order ID,Product Category,Sub-CategorySales,Profit,Discount,QuantityOrder Date,Ship DateSegment,Region,State,Customer ID
π§Ή Data Cleaning and preprocessing were performed in Excel before visualization.
π Dashboard Highlights
π Key Metrics (KPIs)
- Total Sales, Total Profit, Order Count
- Profit Margin calculated dynamically
π Sales Over Time
- Yearly and monthly trend lines to detect seasonality and growth patterns
ποΈ Sales Breakdown
- By Product Category and Sub-Category
- Identify underperforming or high-potential items
πΊοΈ Regional Insights
- Map visuals show sales and profits across States and Regions
π₯ Segment-wise Behavior
- Compare Consumer, Corporate, and Home Office segments
π Top 10 Products
- Ranked by sales for quick strategic focus
π§ Interactive Filters
- Slice data by Month Name and Customer Name
π οΈ Tools & Technologies Used
| Tool | Purpose |
|---|---|
| Tableau | Visualization & Dashboard Building |
| MS Excel | Data Cleaning & Structuring |
| Kaggle | Source of Retail Dataset |
π§ͺ How to Explore This Dashboard
-
Download Dataset
β Sales Forecasting Dataset on Kaggle -
Open Tableau Desktop or Tableau Public
-
Connect to the Excel File
Ensure correct sheet and data types -
Open the Dashboard File
If available (.twb/.twbx), simply double-click to explore -
Interact and Analyze
Use built-in filters to dive into specific customer names or months
π€ About Me
Vedika Sankhe
π Aspiring Data Analyst | π Tableau & Power BI Enthusiast | π‘ Turning Numbers into Narratives
π LinkedIn
π GitHub Portfolio
π¬ Feedback & Contributions
If you have ideas to improve this dashboard, feel free to open an issue or submit a pull request.
Collaboration is welcome!
π License
This project is open-source and available under the MIT License.
