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In some of my recent posts, I’ve talked (and visualized) about some of the reasons why I love the Tableau community. My first post about the topic was a “thank you” to the Tableau community in general while my second post analyzed community member stats. Continuing...

Here at InterWorks, maintaining a small group of amazing people is very important to me. Having 500, 1,000 or 10,000 employees just for the purpose of leveraging that army to hit a billion in revenue is simply not the goal. In fact, it just sounds...

I have been using Tableau since version 4, initially as a Tableau customer. One of the first things I wanted was to be able to see my data on the move. I didn’t want to see everything, just the basics, a list of green ticks showing...

Quick! Minimize those quick filters!  The Tableau Performance Checklist is a guide to assist you in creating the most efficient and fastest dashboards and visualizations possible. The list is drawn from the collective experience of our award-winning Tableau professional services team. We’ve divided the checklist into...

I met Behfar for the first time around 2005. At the time, I was the CFO/CIO for a mid-sized global manufacturing and distribution business. We has just finished divesting our parent company, and most of my team and I had to find technology partners that...

If you’ve spent any time using Alteryx by now, you probably have a directory full of useful modules. One of the greatest features about Alteryx is that once you have created and tested a module, you can turn that module into a macro or an...

Next week, Alteryx is kicking off their annual Inspire event. We’re excited to be in Boston to talk to people about the amazing things you can do when combining the power of both Alteryx and Tableau.   But, while we’re there, we will definitely be checking...

Next, we'll explore the sixth point under the Data section of the Tableau Performance Checklist: “Use extracts wherever possible to accelerate performance. Hide unused and confidential fields. Roll up data granularity by pre-aggregating or filtering. Break hierarchies to only visible dimensions” There are many reasons to utilize extracts...

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