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We here at Tableau are very proud of how easy it is to see and understand data with Tableau. Once you get started, it’s intuitive to dive deeper by adding more and more fields, formulae and calculations to a simple visualisation – until it becomes slower and slower to render. In a world where two-second response times can lose an audience, performance is crucial. Here are some tips for making your dashboards perform better.

Tableau is a playground for creativity. When a bit of knowledge meets imagination, a Tableau Jedi is born. Understanding a couple of key facts about Level of Detail Expressions can save you hours of trying to guess Google search terms for answers to tough questions.

When I first got a Fitbit, it was amazing. My daily dashboard, focusing mostly on a 10,000-step target, was incredibly motivating. Was I hitting the target? Answer: sometimes. Connecting with friends added great gamification. I began making different choices in my daily routine to take more steps. When I lost my first tracker, Fitbit sent me a free replacement. Wow! What more could I ask from this dream company? Over time, however, I stopped going back to the dashboard as often.

Blank stares, then...huh? That's what I get when I say "visual analysis." People tend to think I'm talking about making a chart. I am, but more than that, I'm talking about exploring data visually with Tableau.

We’ve sure been having a geeky month here at Tableau. It all started when we built a Web Data Connector (WDC) to the Star Wars API. Then, we watched as you, our downright-stellar community, put our data to work. (We couldn’t resist that pun.) The Star Wars data fever didn’t end there, though. In the nearly two weeks since Episode VII’s release, dozens of visualizations have popped up all over the web. Here are some of our favorites.

So you have your focus and your orientation. Now it’s time to design your mobile dashboard. Keep your dashboard design simple and targeted. Follow these tips to design a new dashboard or transform an existing dashboard for the small screen.

In 2015, we saw tremendous growth in cloud technology. Enterprise giants became cloud-relevant, and startups everywhere crowded into the party. Cloud data gained recognition as efficient and cost-effective, and industry players raced to capitalize on a widespread shift to cloud.

Just because you have geographical data, it doesn't mean you should make a map. Just because you have a date, it doesn't mean a trend line is the best thing. And just because you want to see the relationship of a part to a whole, it doesn't mean you should use a pie chart.