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Filters are a powerful tool for the data explorer. With a filter, you can easily drill down, consider only the relevant subset, and easily answer even the most complex questions. And when you use custom shapes as filters, they become that much more approachable and user-friendly.

They’re your superheroes when you have viz problems. They’re the ones you call when you’ve got a data connection question. They’re your Tableau support team, and now you can reach them on Twitter.

Tableau has supported passing initial SQL for some time, but only for a handful of data sources. And it was missing a critical piece of the pie; you could not dynamically pass parameters like username. With Tableau 9.3, we have added the first round of data sources that support not only initial SQL but also the ability to pass parameters to the database that are evaluated at runtime.

In January, there were 42 Tableau User Group meetings around the world, and there are hundreds of active groups. The San Francisco group is one of the largest and most active, and I always have a good time when I go.

Today I have great news: Vizable 1.2 is now available in the App Store! I’m most excited about our new sharing feature: You can now share an interactive view with friends and colleagues so they can ask and answer their own questions. They can open up your Viz file and start right where you left off.

Here at Tableau, we know that a truly enterprise-ready tool empowers both the business and IT, both self-service and governance.This balance is the hallmark of modern enterprise analytics. That’s why with each release, we’re dedicated to making Tableau even more powerful for not only the individual users but also IT. Tableau 9.3 includes several Tableau Server management features to help IT streamline governance. Here are the details.

From basic tips to the super-hacky and everything in between, here are the Best of the Tableau Web for the month of January.

I was on a call with Zen Masters Steve Wexler, Jeff Shaffer, and Robert Rouse. We were talking about formatting labels, and Robert was saying, “Well, of course, you can just drag the labels around.” “Wait. What?” I said.

Is there a single “best” way to visualize data in a particular scenario and for a particular audience, or are there multiple “good enough” ways? This is going to sound strange, but I think both are right.

Data doesn’t always come ready for analysis. As many of you have experienced, some data needs a lot of work before it can be sanely analyzed. The good news: Tableau 9.3 (currently in beta) offers a quick fix to that problem.