At the same time I struggled to understand the conceptual breakthrough behind Tableau. While it's often considered a prominent Data Discovery platform, when it comes to data transformation it's not significantly less dependent in IT staff than traditional Business Intelligence platforms. Just as traditional BI, Tableau needs well prepared data, preferably residing in a database. And when it comes to databases all user-friendliness ends -- last time when SQL was user-friendly was in 1980s.
In my understanding the reason why Data Discovery started outpacing traditional BI is that it can liberate business teams from dependency on IT folks. Data Discovery tools must be self-sufficient by definition. It means that users should be able to collect, clean, transform and prepare data for analysis themselves. And this is why they still love Excel -- because it makes it possible, because it lets them control. And that's why QlikView is popular -- because it has its own ETL which makes it self-sufficient. While QlikView has its own pros and cons (personally I'm not a big fan of its loading script), but in vast majority of cases it has all you need to prepare your data for visualization and then analyze it. But what about Tableau?
If you're a Tableau user, give EasyMorph a try -- maybe this is something that you were missing in your Tableau experience. Feel free to drop me a few lines with your thoughts on it. You can find my email in the right sidebar of this blog. Thank you!