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The feeder competitions are fierce, but no matter what your current skill level, you, too, can work your way to the Iron Viz stage. And when you do, use these tips to propel you to the top!

If everything’s bigger in Texas, and Austin keeps it weird, then it comes as no surprise that this year’s Tableau Conference has been the biggest and best yet. Some 13,000 of you came, registered, schedule (scouted), and you conquered. From the 400+ sessions to the Iron Viz Championship, people everywhere were seeing and understanding data in new ways.

The nerd glitterati of TC16 gathered with one mission: Choose the winner of the Live Hackathon in Austin. At stake? Nothing less than $1,000 and the coveted Trophy of Eternal Glory.

Twenty minutes to the start of the Iron Viz competition, the energy in Viz Stadium was palpable. As the music blared and lights flashed, the same question was on every person’s mind: Who will be crowned 2016’s Iron Viz champion?

I have the pleasure of leading Tableau’s talented engineers, and we’re excited about our vision and plan for what’s ahead. Let me tell you about some of the most anticipated new capabilities we showcased on stage at TC16.

We are committed to making Tableau the enterprise-grade analytics platform your company can rely on. Let me show you how our current and planned capabilities help you address these requirements.

As we shared during the keynote at TC16, every part of our product roadmap is designed to empower you and your entire organization to make better decisions faster with data. Here is a small sample of what we have planned for the next three years.

Over 150 attendees gathered to participate in a live Makeover Monday session at TC16. Tableau Zen Master Andy Kriebel and Tableau’s own Andy Cotgreave led the group in visualizing a data set on Austin restaurant inspection.

Hot on the heels of Tableau 10.1, we’d like to introduce a new open-source project called the Mobile App Bootstrap (MAB). The MAB is a sample open-source mobile app that demonstrates how to connect and stay signed in to Tableau Servers, embed Tableau content, and utilize the Tableau JavaScript API to embed the Tableau content you want to have right at your fingertips.

We’re happy to announce the beta release of TabPy, a new API that enables evaluation of Python code from within a Tableau workbook. When you use TabPy with Tableau, you can define calculated fields in Python, thereby leveraging the power of a large number of machine-learning libraries right from your visualizations.

We are happy to announce the release of Logshark, an open-source, self-service tool to help you analyze Tableau log files using a product you already love, Tableau!