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If you’re new to Tableau Prep Builder or just want a refresher, dig into these four features to start solving some of your toughest data prep problems.

Learn about some of the features in the new Tableau Prep Conductor that will help you manage self-service data prep at scale—including scheduling and automation, monitoring, reporting, alerts, and more.

Ever think of taking your Strava data and turning it into art? Andy Cotgreave did! Read our blog to hear about his inspiration, process, and how you can create your own masterpiece.

Women’s History Month is our chance to pay homage to these heroic women, and celebrate the accomplishments of today’s heroes, who are making incredible contributions in every profession. This month is also an opportunity to grapple as a community with some of the challenges and shortcomings in our society that hold women back.

How can government agencies improve efficiency? Start with a data-first, enterprise approach to project management. Read our blog and learn real-world best practices for success.

Ready to start your Tableau Conference Europe experience on the right foot? There's no better way to kick it off than to join the Data + Women meetup.

Hear from Tarnejah about her data journey, how learning analytics gave her a competitive edge, the magic of using a notebook, and how data skills helped her land an amazing role at executive search firm, Heidrick & Struggles.

Tableau is proud to have participated in the BI Bake Off events during the 2019 Gartner Data and Analytics Summits. Take a look at the Tableau visual analytics features we demoed with Gartner's proprietary global survey data about loneliness.

If you’re trying to find new methods to explore data and visualize it in meaningful ways, you need to reposition your relationship with your audience so that they trust you enough to collaborate.

Use this guide to prepare for the Iron Viz data competition.

Natural language processing (NLP) is the talk of the data-driven town. Learn how developments in artificial intelligence (AI) and machine learning (ML) are propelling NLP forward as a powerful modality for data-driven decision-making.