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When doing something akin to "whiteboard data modeling" and people need to get familiarity with the overall shape/meaning of the data.
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When you find an interesting node in your data that shows some pattern but you don't know what the pattern is, use Bloom to focus on that node and expand/filter out from the starting space. "Hypothesis formation" is where Bloom is really good. "Something is going on here, I don't know what it is, let me get the shape and see if that suggests anything to me about what's happening"
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When you need a business user who doesn't know Cypher to make individual point changes (like to an individual property value)
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