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Interactive Tableau dashboard for analyzing Superstore sales, profit trends, top products, customer segments, and regional performance.

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📊 Superstore Sales & Profit Performance Dashboard

Dashboard Screenshot

🚀 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

📌 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.


📦 Dataset Details

  • Source: Kaggle - Sales Forecasting Dataset
  • Records: ~10,000 rows
  • Key Columns:
    • Order ID, Product Category, Sub-Category
    • Sales, Profit, Discount, Quantity
    • Order Date, Ship Date
    • Segment, Region, State, Customer ID

🧹 Data Cleaning and preprocessing were performed in Excel before visualization.


📌 Dashboard Highlights

🔍 Key Metrics (KPIs)

  • Total Sales, Total Profit, Order Count
  • Profit Margin calculated dynamically

📈 Sales Over Time

  • Yearly and monthly trend lines to detect seasonality and growth patterns

🛍️ Sales Breakdown

  • By Product Category and Sub-Category
  • Identify underperforming or high-potential items

🗺️ Regional Insights

  • Map visuals show sales and profits across States and Regions

👥 Segment-wise Behavior

  • Compare Consumer, Corporate, and Home Office segments

🏆 Top 10 Products

  • Ranked by sales for quick strategic focus

🧠 Interactive Filters

  • Slice data by Month Name and Customer Name

🛠️ Tools & Technologies Used

Tool Purpose
Tableau Visualization & Dashboard Building
MS Excel Data Cleaning & Structuring
Kaggle Source of Retail Dataset

🧪 How to Explore This Dashboard

  1. Download Dataset
    Sales Forecasting Dataset on Kaggle

  2. Open Tableau Desktop or Tableau Public

  3. Connect to the Excel File
    Ensure correct sheet and data types

  4. Open the Dashboard File
    If available (.twb / .twbx), simply double-click to explore

  5. Interact and Analyze
    Use built-in filters to dive into specific customer names or months


👤 About Me

Vedika Sankhe
🎓 Aspiring Data Analyst | 📊 Tableau & Power BI Enthusiast | 💡 Turning Numbers into Narratives

🔗 LinkedIn
📁 GitHub Portfolio


💬 Feedback & Contributions

If you have ideas to improve this dashboard, feel free to open an issue or submit a pull request.
Collaboration is welcome!


📄 License

This project is open-source and available under the MIT License.

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