Unable to generate useful insights on a highly cardinal data

I'm working on CRM data, did some cleaning, encoding and ran a decision tree classifier from which i plotted a feature_importance graph

From that I found that Sales person column is one of the important feature which is highly cardinal column(around 1300+ categories/sales person). Now i'm trying to generate some insights on this column with respect to target column(binary values).

Would like to know in general how to create insights from such a large categorical column?

P.S: Other columns are also high cardinal categorical columns but comparatively small to this SalesPerson column

Thanks in advance!