Posts on this blog covered Data Explorer fixing broken shapes: data with no value column, data spread across four stage columns instead of a proper flow. Both are real problems Data Explorer solves. But most of the time, your data isn't broken. It's already sitting there as a clean Source, Target, Value table, ready to go.
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Most Sankey examples show two columns: a source, a target, done. But almost nothing in the real world only has two stops. A customer doesn't just go from "ad" to "purchase," they land somewhere, browse on some device, look at some category, and end up at some outcome. A hiring pipeline isn't "applied" to "hired," it's source, screen, interview, offer. Real journeys have stages, plural.
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Most Sankey tutorials start the same way: make sure your data has a Source, a Target, and a Value. But a lot of real datasets don't have that third column at all.
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Learn what a Sankey diagram is, when to reach for one instead of a bar chart or funnel, and how to build one in SankeyBuilder - from raw data to a finished, presentation-ready diagram.
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If you've ever tried to turn a spreadsheet into a slide deck using AI images, you already know the problem.
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