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Created Interactive Dashboard to Track and Analyzed Online Sales Data

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📊 ECommerce-Dashboard

Sales Data Analytics: An Interactive Dashboard to Track and Analyse Online Sales Data

The E-Commerce Sales Dashboard is an interactive Power BI report designed to explore and compare sales performance across 19+ states in India.

This dashboard highlights key insights such as:

  • Highest and lowest buyers by state
  • Revenue contribution by category and customer
  • Payment mode preferences
  • Quarterly performance trends
  • Give Recommendations to the Richest Buyers

The goal is to provide data-driven strategies to better understand e-commerce sales and support business decision-making.


🛠 Tools & Technologies

  • Power BI Desktop → Main platform for dashboard creation
  • Power Query → Data transformation and cleaning
  • DAX (Data Analysis Expressions) → Calculated measures, dynamic visuals, and logic
  • Data Modeling → Relationships between tables (e.g., Amount by State, Category, Payment Mode)
  • File Formats → .pbix (Power BI File - Get it in Raw File), .csv (data import - Details, Orders, .png Dashboard Preview & Dashboard background

🎯 Use Case

  • Business Problem: Large sales volumes across India, but limited visibility into performance.
  • Dashboard Goal: Visualise sales trends, track top customers and categories, analyse quarterly performance, and support forecasting.

📈 Dashboard Insights

  • Sales by State → Identifies top-performing states by revenue
  • Quantity by Payment Mode → Breaks down payments (EMI, COD, Debit/Credit Cards, UPI, etc.)
  • Sales by Customer → Highlights the most profitable customers
  • Quantity by Category → Shows best- and worst-performing categories (Furniture, Electricals, Clothing, etc.)
  • Quarterly Analysis → Tracks performance across 4 quarters

🖼️ Screenshots / Demo

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Created Interactive Dashboard to Track and Analyzed Online Sales Data

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