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Just my 2 cents of managing a an analytics team that works daily with Tableau and Alteryx: 1) Alteryx is super expensive and can be replaced with Jupyter Lab and Python, those that do Alteryx well can also do basic data prep in python; 2) forget Tableau for anything other than fancy, online, dashboards (so forget pivot tables, email notifications and pdfs that look good)

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There is no good reason to ever use Alteryx over R/Python. But their company is really good at selling to non-technical management.

what do you mean by "forget pivot tables, email notifications and pdfs that look good".

they don't work? are expensive? hard to use? limited?

Tableau straight out refuses to make tables that look good because they want users to do charts. So if your users want cross tab looking reports like Pivots, Tables, etc., you'll be left with a very limited solution. Tableau does also very limited notifications and those are normally "subscribed" by users, not centrally managed. Finally, no pdf or print out or screenshot ever looks as good as those from Excel, I don't know why, but they know it is a problem and they still think it's ok. In summary Tableau is about the "Tableau way" which is great if you have the right type of user, but completely sucks if you don't. For instance, if you are trying to move people away from Excel, Tableau is too much of a leap and will hurt your adoption of an online solution. Things like "SeekTable" are better if all you need is moving away people from crazy Excel files.

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