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With 50 million subscribers, Netflix is a major player among media and broadband companies. “We provide streaming services so people can watch whatever they want whenever they want” said Blake Irvine, a manager in the Data Science & Engineering group at Netflix. “Tableau has become a go-to tool for data visualization and storytelling for Netflix”, said Irvine.

EA's adoption of Tableau Server enterprise analytics paid off in better sales reporting, improved game site health monitoring, and a clearer understanding of beta games. “We wanted to build self-service rapid reporting analytics in an enterprise platform,” said Venkatesh Shivanna, Analytics Architect for EA. With more than 6,000 views per day, the Tableau Server eco-system was chosen for its ability to reliably keep up with the traffic from EA customers eager to get their game on.

Only a few months after ringing the opening bell on DATA’s IPO anniversary, Tableau and the city of Seattle were fortunate to host the New York Stock Exchange (NYSE) for the closing bell.

We have announced the 2014/15 Tableau Zen Masters! Read our post to discover which customers have made the biggest contributions to the Tableau Community in the past year.

Here at Tableau, we are so often blown away by the dedication of customers in our community. Tableau User Groups (TUGs for short) are the perfect example. Our User Groups are organically formed communities that meet throughout the year to share best practices and Tableau experiences. We have geographical, industry and company-specific TUGs meeting all over the globe.

At Tableau, the end of the summer doesn't mean back-to-school, it means back to CONFERENCE! With TC14 right around the corner it's no surprise that there are a ton of great posts this month, chalk full of sweet Tableau gems.

The Seattle Sounders are having the best year in Major League Soccer. Not only does the team have the best record in MLS, but they have far and away the best attendance by fans of any MLS club. To top it off, the squad sent two players, Clint Dempsey and DeAndre Yedlin, to join the U.S. Men’s National Team to compete at the World Cup in Brazil.

This is the last post in a three-part series about Tableau data extracts. In the first post, we looked at how Tableau data extracts are built and used by Tableau. In the second, we looked at why you would want to use TDEs and some sample use cases. In this last post, we will look at tips, techniques and best practices.

This is part two in a three-part series about Tableau Data Extracts. In the first post, we looked at how Tableau Data Extracts are built and used by Tableau. If the content of the first post did not already sell you on the benefits of TDEs, then here are several reasons that Tableau Data Extracts (TDEs) are valuable—even essential—to Tableau users:

This past June, Jessica Hennessey, an assistant professor of economics at Furman University used a Tableau for Teaching travel grant to speak at the American Economic Association Conference. She then recapped her experience for us and how Tableau changed her teaching experience. If you've ever wondered how Tableau is being used in education to enhance student learning, read on! And if you want to get a travel grant for your next academic conference, contact our Tableau for Teaching team for more details.

Changes in the delivery of healthcare continues to be a leading subject throughout the country. A few Healthcare organizations are using innovative tools, such as Tableau Software, to better understand and react in order to improve healthcare outcomes. Improvement in health outcomes is based on providing better quality care at a reduced cost while still maintaining profitable operations in order to keep hospital and clinic doors open.There are multiple ways that healthcare organizations approach this – sometimes by reducing a patient’s length of stay. However, this can lead to a patient needing to be re-admitted for an unresolved medical issue. Are the long term costs of such an approach more costly than the short-term gains?

This is the first post in a three-part series that will take a large amount of information about Tableau data extracts, highly compress that information, and place it into memory — yours.