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📊 Retail Performance Analytics Dashboard

Power BI DAX Power Query Data Analysis


📌 Project Overview

Retail Performance Analytics Dashboard is an interactive Business Intelligence solution built using Power BI to transform raw retail sales data into meaningful business insights.

The report enables stakeholders to monitor sales performance, customer behavior, product profitability, and regional trends through interactive dashboards.


📸 Dashboard Preview

📈 Executive Dashboard

Executive Dashboard


📦 Product Analysis

Product Analysis


👥 Customer Analysis

Customer Analysis


🌍 Regional Analysis

Regional Analysis


🎯 Business Problem

Retail businesses generate thousands of transactions every day, making it difficult for management to identify:

  • Top-performing products
  • High-value customers
  • Profitable regions
  • Sales trends
  • Discount impact on profitability

This dashboard provides a centralized view to support faster, data-driven business decisions.


📊 Dashboard Pages

📈 Executive Dashboard

  • Total Sales
  • Total Profit
  • Profit Margin
  • Monthly Sales Trend
  • Top Products
  • Sales by Category
  • Sales by Segment

📦 Product Analysis

  • Top 5 Products
  • Bottom 5 Products
  • Sales by Sub-Category
  • Profit by Sub-Category
  • Discount vs Profit Analysis

👥 Customer Analysis

  • Top Customers
  • Customer Distribution
  • Customer Sales vs Profit
  • Sales by Segment
  • Profit by Segment

🌍 Regional Analysis

  • Sales by Region
  • Profit by Region
  • Sales by State
  • Profit by State
  • Sales by Ship Mode

📊 Key Performance Indicators

  • Total Sales
  • Total Profit
  • Total Orders
  • Total Customers
  • Profit Margin
  • Average Order Value
  • Product Performance
  • Customer Performance

🛠 Tech Stack

Tool Purpose
Power BI Dashboard Development
Power Query Data Cleaning
DAX Calculated Measures
CSV Data Source

💡 Business Insights

  • 📌 Technology generated the highest sales.
  • 📌 West region achieved the highest profit.
  • 📌 Consumer segment contributed the highest revenue.
  • 📌 California generated the highest sales.
  • 📌 Tables showed the lowest profitability.
  • 📌 Higher discounts negatively impacted profit for several sub-categories.

📂 Repository Files

  • Retail-Performance-Analytics.pbix
  • Sample-Superstore.csv
  • executive-dashboard.png
  • product-analysis.png
  • customer-analysis.png
  • regional-analysis.png

🚀 How to Use

  1. Download the repository.
  2. Open Retail-Performance-Analytics.pbix using Power BI Desktop.
  3. Load the provided dataset if prompted.
  4. Explore the interactive dashboards using slicers and filters.

📈 Skills Demonstrated

  • Data Cleaning
  • Data Modeling
  • Power Query
  • DAX
  • Dashboard Design
  • KPI Development
  • Data Visualization
  • Business Intelligence
  • Storytelling with Data

👨‍💻 Author

Kamlesh Suthar

Aspiring Data Analyst

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Interactive Power BI dashboard analyzing retail sales, product performance, customer behavior, and regional insights using Power BI, Power Query, and DAX.

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