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Tableau 10.2 is here with a host of features to help you maximize the impact of your data. What can you do with Tableau 10.2? Tackle complex geospatial analysis with the one-click shapefile support. Get to your analysis faster with our new connectors and data-prep features. And deliver governed self-service analytics at scale with our enterprise enhancements.

The transition to a self-service-based, modern BI model requires IT to adopt a collaborative approach that includes the business in all aspects of the overall program. This transition often involves choosing the right modern analytics platform. During this selection process, both the business and IT should assess each platform's ability to execute on the modern analytics workflow.

Deploying Tableau in your enterprise? Join our Twitter chat to hear from three Tableau community enterprise experts.

We’re excited to announce that the Tableau Conference On Tour London is now accepting applications for customer speakers. The deadline to apply is March 6, 2017.

As organizations shift their approach to analytics, IT leaders should seize the opportunity to redefine their role. Adopting a collaborative approach to truly support self-service is the key to changing the perception of IT from a producer to a strategic partner and enabler for the organization.

Tableau was named a leader for the fifth straight year in the 2017 Gartner Magic Quadrant for BI and Analytics. But we couldn’t do it without you, the amazing leaders in our community. So we asked you to share the data leaders who inspire you, day in and day out. And we were blown away by your responses!

Tableau is an outlier in the world of BI. Unlike so many tools, it really focuses on making the analytical journey a joy. It’s easy to get lost in the analysis and realize all the findings you have. But once you learn this (or anything else in Tableau), how do you get others to do it? How do you increase adoption or spread this like wildfire?

 As healthcare providers adopt new practices to align with the value-based care paradigm and enterprise business objectives alike, they are critically challenged with implementing repeatable processes to improve supply chain efficiency, revenue cycle management, and clinical productivity. Here are four ways data is improving healthcare operations.