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Identify Top-Performing Products in Power BI
In this lab, you’ll practice identifying top-performing products in Microsoft Power BI. When you’re finished, you’ll have percent-of-total, ranking, and cumulative measures plus a Pareto chart that shows which SKUs drive 80 percent of revenue.
Lab Info
Table of Contents
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Challenge
Calculate Contribution Using Filter Context
In this first challenge of a series, you’ll inspect the preloaded sales model and write percent-of-total measures. The star schema and Total Sales measure are already in place, so you can focus on filter context.
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Challenge
Rank and limit results dynamically
Percent-of-total shows contribution, but merchandising also wants a ranked shortlist. In this challenge you’ll rank products by revenue, keep only the top N with a measure (not a visual filter), and group everything else as Other.
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Challenge
Build cumulative calculations
A ranked list still does not show how quickly revenue concentrates. In this challenge you’ll calculate a running total of revenue across the ranked product list and express it as a cumulative percentage of overall revenue — the foundation of a Pareto chart.
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Challenge
Construct a Pareto analysis
You’ll turn the ranking and cumulative measures into the merchandising team’s Pareto view: product revenue as columns, cumulative percentage as a line, and a reference line at 80 percent so the SKUs that drive revenue are obvious.
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Challenge
The Last Challenge
Welcome to the final challenge! This is your last chance to experiment in the environment. Clicking Finish Lab will end this little world that flittered into existence just for you.
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