Power BI E-Commerce Revenue Growth Diagnostic Case StudyPower BI E-Commerce Revenue Growth Diagnostic Case Study
The network for creativity
Join 1.25M professional creatives like you
Connect with clients, get discovered, and run your business 100% commission-free
Creatives on Contra have earned over $150M and we are just getting started
Case study on 100K+ real e-commerce orders (Olist dataset): why did revenue growth stop? I built a 6-page Power BI diagnostic star schema, 25+ DAX measures (revenue decomposition into volume vs. basket effects, MoM/YoY, CROSSFILTER) plus a plain-English executive report with a 30/60/90 action plan. Key findings: orders flatlined at 6.6K/month; 97% of buyers never return; one region carries 38.4% of revenue; one category hides a 15.7% decline. Full pipeline on GitHub: Python ETL, SQL validation, dashboard, report.
Back to feed
The network for creativity
Join 1.25M professional creatives like you
Connect with clients, get discovered, and run your business 100% commission-free
Creatives on Contra have earned over $150M and we are just getting started