This video is day 18 of a 30-day dashboard challenge, where the creator builds an Amazon e-commerce analytics dashboard in Power BI. The project focuses on cleaning raw e-commerce data with Power Query and using DAX calculations to analyze sales, revenue, orders, product performance, categories, and trends for better decision-making.
A short editorial from the VEONIB team on why this content matters.
This video shows a practical, end-to-end Power BI workflow for Amazon e-commerce analytics, emphasizing data cleaning before visualization. It proves that solid data preparation is the foundation of trustworthy dashboards.
Unlike quick Power BI tutorials, this series documents daily, real-world dashboard builds, giving viewers a repeatable process for turning messy e-commerce data into decision-ready insights.
Watch this if you are learning Power BI or e-commerce analytics, then replicate the cleaning and DAX steps on your own dataset to build a portfolio-ready dashboard.
The practice of analyzing Amazon marketplace data to understand sales, revenue, and product performance.
An interactive Microsoft Power BI report that visualizes data for business intelligence.
A Power BI tool used to connect, clean, and transform raw data before analysis.
Data Analysis Expressions, the formula language used in Power BI for calculations and measures.
The process of fixing missing values, duplicates, and inconsistencies in raw data.
Examining sales data over time to identify patterns and inform business decisions.
Evaluating how individual products contribute to revenue and overall e-commerce success.
A self-paced challenge to build one data dashboard per day for skill development.
What is an Amazon e-commerce analytics dashboard in Power BI?
It is a Power BI report that visualizes Amazon e-commerce data such as sales, revenue, orders, and product performance to support business decisions.
Why is data cleaning important before building an e-commerce dashboard?
Cleaning removes missing values, duplicates, and inconsistencies so calculations and visuals are accurate and reliable.
What role does Power Query play in this project?
Power Query is used to connect to raw e-commerce data, handle missing values and duplicates, and structure the data for analysis.
How are DAX calculations used in the Amazon dashboard?
DAX creates measures and calculated columns that power interactive visuals for sales, revenue, and product performance.
What metrics can an Amazon e-commerce dashboard track?
It can track sales, revenue, orders, top-performing products, category performance, and overall e-commerce trends.
Can beginners build an Amazon e-commerce dashboard in Power BI?
Yes, beginners can start with simple data cleaning in Power Query and basic DAX measures, then add more complex visuals over time.
What is the 30-day dashboard challenge?
It is a personal challenge to build one dashboard per day for 30 days to rapidly improve data visualization and analytics skills.
How does this dashboard support better decision-making?
By identifying top products and sales trends, it helps businesses optimize inventory, marketing, and pricing strategies.
What skills are demonstrated in this Day 18 Power BI project?
Data cleaning with Power Query, DAX calculations, interactive dashboard design, and e-commerce analytics storytelling.
Where can I find more dashboards from this challenge?
You can follow the creator's series on their channel, with day 19 and subsequent dashboards continuing the 30-day challenge.