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Thought this was interesting. Across 160 teams of researchers, just about all failed to make good life outcome predictions on things like GPA, evictions, layoffs, and others. Data followed 4.5k families across 15 years, with 13k features (varied over time). Haven't looked at it directly yet, but will be turning the docs and data inside out... In the meantime, authors claim this as showing the limits of ML. Oh, and it's published in PNAS, so you know there's some big publication energy there.
https://www.pnas.org/content/117/15/8398
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PowerBI or Tableau will both work great. If you are using alteryx for data manipulation and automation of data related processes then tableau would be a great combo because ayx has native .tde outputs
Maybe it’s the cost of Alteryx? Me personally (non coder), Alteryx was so much easier to learn than Tableau. But hey, that’s their decision!
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Like Tableau, PowerBI, and Qlik Sense?
Hey there. I'm from a Tech consulting firm based out of Singapore. We have worked with several customers around the world including fortune 500 customers. We are partners and provide services and solutions on Power BI, Tableau, Qlik Sense and Snowflake. I believe we can help you evaluate the right tool for your organization :)
Alteryx could be it
For some strange reason our management *feels* alteryx is complex so that was ruled out. So we had to drop it from our list
Honestly this exactly what Power BI was designed for