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Sales & profitability

Super Store Sales Analysis

A project by Mohammed Ashraf Hassan — Data & BI Analyst

Sales & profitability
2.90M
Total sales
360.13K
Total profit
47K
Quantity sold
12.42K
Total purchases

The question

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

What I built

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.

What it revealed

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

Document

Report pages

Super Store sales dashboard showing total sales and profit by quarter, sales by segment, sales by category and sales per state map
Sales & Profit overview with year, region and ship-mode filters

Data model

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