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Best thing about Tableau Conference Europe? Finding and learning from people just like you! Attend sessions from Tableau Zen Masters and customers, network with peers at meetups, and bring back knowledge from the front lines to apply to your own work.

Regardless, if you’re looking for inspiration, trying to speed up manual processes, or doing strategic financial analysis, then the resources below are right for you. They include real use cases from Tableau’s customers, partners, and our own internal finance analytics team. We hope they help you find your next big success.

In this second post, we'll discuss all the other issues that came up when it was time to bundle up and release the software—Tableau Server on Linux.

From seamlessly zooming into details to digging into location details with the Streets map style—we’re taking the background map to a whole new level in Tableau 2019.2.

If you are considering deploying natural language processing (NLP) within your organization, review these data governance processes to get started on the right foot.

From creating an extension to enable users to set personalized alerts on their dashboard to voice-driven solutions—you won’t want to miss this recap of our Chicago #DataDev Hackathon.

The state of Delaware has taken on the challenge to provide financial education to its residents by offering an easy way for them to determine available income. State Treasurer Colleen C. Davis released an interactive Available Income Calculator, built in Tableau Public, that any Delaware resident can easily access and use to determine fixed expenses, average monthly expenses, and the income available after necessities are paid for.

Today is an exciting day for Tableau Foundation! We're joining with PATH to expand the Visualize No Malaria initiative in up to 6 countries, which will cover 60 million at-risk people in sub-Saharan Africa.

This post explores Tableau’s approach to the scenarios analysts and data scientists work with every day, and provides you with resources to conduct sophisticated data analysis.