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Projects Sales & profitability

Super Store Sales Analysis

A project by Mohammed Ashraf Hassan

Published
Type
Power BI
Built with
Power BI Power Query Excel Star Schema
Total sales
2.90M
Total profit
360.13K
Quantity sold
47K
Total purchases
12.42K

Overview

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Challenge

Across four years of orders, which segments, categories, and states actually carry profit — and is the trend improving or just noisier?

Approach

A single-page executive sales dashboard over a star-schema model with customer, product, geography, date, and ship-mode dimensions, filterable by year, region, and shipping method.

Outcome

  1. 2.90M in sales produced 360.13K in profit, with quarterly profit growing from 4K to a 62K peak in Q3 2019.
  2. The Consumer segment drives 53% of sales (1.55M), while Home Office contributes only 17% — a clear targeting signal.
  3. Technology leads category sales, with Office Supplies close behind on volume but thinner returns.
  4. Sales concentrate heavily in California and New York, exposing a geographic dependency worth diversifying.

Data model

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Power BI star schema with a sales fact table joined to customers, products, geography, date and ship mode dimensions
Star schema — sales fact table with five dimensions

Tools

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Tools

Power BI Power Query Excel Star Schema

Keep exploring.

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