Projects Lead project · DEPI capstone
Retail Performance & Operations Dashboard
Lead project
A project by Mohammed Ashraf Hassan
Overview
01 · Waxing Crescent · 10% litChallenge
A retail business could see its revenue but not what was quietly draining it — cancelled orders, slow shipping, and discount-heavy sales reps.
Approach
A three-page Power BI report over a cleaned RetailSales dataset, modelled as a star schema joined on surrogate keys: an Executive page for revenue and margin, an Operations page for fulfilment health, and a Sales Force page for rep and product performance. All pages share date, channel, brand, and category filters.
Outcome
- 29.62% net profit margin on 4.34M in sales, with margin dipping to 26.15% in Q3 — a seasonal squeeze worth planning around.
- 14.80% of orders were cancelled, equal to 625.61K in lost revenue: the single biggest recoverable number in the business.
- Average shipping lag of 3.92 days showed no strong link to cancellations by city, ruling out delivery speed as the main cause.
- Product-level margin flags exposed items selling in volume while earning below-target margin, and discount rates varying by rep up to 9%.
Report pages
02 · First Quarter · 50% litData model
03 · Waxing Gibbous · 90% lit
Tools
04 · Waning Gibbous · 98% litTools
Keep exploring.
05 · New Moon · 0% lit
Superstore Executive Intelligence Portal
Data Analytics & BIDeveloped an interactive Power BI Executive Portal to track financial health, product profitability, and customer risks. Built: A multi-page dashboard featuring automated alert cards, regional financial tracking, category/shipping drill-downs, and a comprehensive slicer filter panel. Found: Discounts over 20% destroy profit margins; the Tables sub-category loses -$18K despite high revenue; and certain high-volume accounts like Sean Miller generate negative net profits.




