The basket usecase in general is thoroughly described in this article: .
You can apply the same logic to many other scenarios - and you can do a lot of variations on how to present you result to the end-users.
Here are a few examples.
Example 1 Sales Data:
With the same setup as the initial example described in usecase 1, we make it a little better by adding some filtering options and using required criteria to make sure the users understand what's going on and use the analysis as it was intended:
The filters in the top left corner are just normal slicers - just meant to select a precise group of data before doing the filter delegate.
The list in the lower left corner is setup with filter delegate on customer names:
So you can narrow down your data to e.g. 2024, United States, JEANS and THEN learn what other prouct WITHIN that filter was bought by the customers who bought e.g. Levis 501, White
Example 2 HR Data:
Maybe you are examining if people who are sick on Mondays only are sick on that day - same setup - the filter delegate in the lower left table now delegates the Employee dimensions
Example 3 Logging Data:
If you have TARGIT Insights, you might want to know about the document users, who used a certain analysis (Close Income Statment in this case) - "What other analysis do they use?"
These 3 examples are just for inspiration - there are numerous other cases where this feature brings instant insight.
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