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Superstore Sales Analysis

Overview

This project analyzes sales and profitability using the Superstore dataset in Power BI.

Key Insights

  • Technology category generates the highest revenue
  • Some regions operate at a loss
  • Discounts negatively impact profit margins

Tools Used

  • Power BI
  • Git & GitHub

Files

  • Power BI report (local)
  • Analysis and insights

Status

Completed ✅

Dashboard

Dashboard

Business Questions

  • Which regions generate the highest revenue?

  • Which categories drive the most sales?

  • Are there regions or categories operating at a loss?

  • How do discounts impact profitability?

  • Technology category generates the highest revenue

  • West region generated the highest sales (~0.73M)

  • South region showed the weakest performance (~0.39M)

  • Technology is the leading category in top-performing regions

  • Discounts negatively impact profit margins, especially in low-performing regions

Dataset

Superstore dataset (sample retail data)

What I learned

  • How to structure analysis from business questions
  • How to visualize insights clearly
  • How to use GitHub for project documentation

About

Learning data analytics: Power BI, Python, SQL projects and experiments

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