From Data to Decisions: Building an Amazon Revenue Intelligence Dashboard ๐๐
When I started learning Power BI, I thought dashboards were mainly about making charts look beautiful.
This project taught me something different:
Dashboards are not about visuals. They're about decisions.
For this Amazon Revenue Intelligence Dashboard, I focused on transforming raw data into meaningful business insights using:
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Power BI
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DAX Measures
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Star Schema Data Modeling
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Interactive Slicers
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HTML KPI Cards
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Business Intelligence Storytelling
๐ Key Insights
๐ฐ โฆ120.4M Revenue generated from 100,000 orders
๐ฅ 20,000 customers, with 69.4% Prime members, highlighting the importance of customer loyalty
๐ฆ 5,000 products across multiple categories, creating diversified revenue streams
Business Questions Answered
๐น Which customer segment drives the most value?
๐น Are loyalty programs actually working?
๐น Which product categories deserve more investment?
๐น Is revenue growth sustainable?
One part I'm particularly proud of is the backend architecture.
I designed the model using a Star Schema, built dynamic DAX measures, and created executive-style HTML KPI cards to combine performance with modern dashboard design.
๐ฏ Biggest Lesson
Data is more than numbers.
Revenue tells a story.
Customers reveal behavior.
Products highlight opportunities.
The goal isn't to build dashboards. The goal is to help businesses make smarter decisions.
๐ Explore the Interactive Dashboard
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lnkd.in/dmJNFFKp
If you were the decision-maker looking at this dashboard, what action would you take first?
๐ I'd love to hear your thoughts.
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