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What the Cherokee Nation has done to manage the threat of COVID-19 is a story of leadership, with data at its core. Cherokee Nation Public Health, a small team of epidemiologists and public health experts—with the support of Tableau—moved quickly to collect, analyze, and communicate the complex data on this previously unknown threat.

Tableau Prep now writes prepared data directly to relational databases. Learn more about this functionality, coming with Tableau 2020.3.

Discover how it works, some good patterns to follow, and what pitfalls to avoid.

The analytics team at BetterCloud was curious how COVID-19 ripple effects have altered their business, through the lens of the data they ingest. To analyze all of this data, they decided to use Tableau.

August 1 marked the one-year anniversary of the start of our journey together with Salesforce. In lieu of an anniversary celebration, we are honoring the values and generosity that are hallmarks of our two communities by making a donation to the World Food Program, to help in their fight against hunger.

COVID-19 is not only a public health challenge—it’s a public information challenge. Learn more about dis/misinformation around COVID-19.

Take a look at how Tableau revamped our Intern program in the midst of COVID-19.

This blog post covers key considerations and the background story behind our decision to take a data-driven approach to helping our customers during this difficult time.

In communities across the world, the data from our partners like Equal Measures 2030 and The ONE Campaign shows that progress on gender equity has been uneven and slow. Now, the concern is that COVID-19 is threatening to undo what gains have been made, and cause a backslide.

COVID-19 has kicked off a lot of discussion about the future of professional sports. Before the 2020 season started, the DataRobot team predicted how the MLB season would unfold for teams and for individual players by leveraging DataRobot’s leading artificial intelligence platform, surfacing the results in Tableau dashboards.

Of het nu gaat om het opnieuw toewijzen en opnieuw creëren van klanttrajecten of de ontwikkeling van nauwkeurigere prognosemodellen: alle bedrijven hebben een data- en analysestrategie nodig waarmee iedereen in de organisatie de behoeften van klanten in real time kan zien en scenario's kan opstellen, hiaten kan identificeren, ideeën voor stresstests kan ontdekken en de resultaten kan verbeteren met bruikbare inzichten.