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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.

As we start to see more data on the impacts across different geographies, we need to understand the particular challenges that rural communities face—and we need to look to the data to inform our understanding of who makes up these communities.

A look at our research processes to design a prototype for visual exploration of the overwhelming volume of pandemic research articles.

Decisions about the need for schools and health clinics are influenced by the Census. COVID-19 has shown how much investment in communities and health infrastructure matters, and how critical it is that people be represented accurately so their needs can be heard and met by the government. But the pandemic has also complicated the Census data collection effort.

When the long-established company Henkel began its “Industry 4.0” journey in 2013, no one could have imagined how quickly digitization would take place—and how valuable this data accessibility would one day be in the year of coronavirus.

Hello, Tableau community! Welcome to Andy's June round-up of the best content being produced by you, the Tableau community.

This blog post covers four reasons why organizations should consider embedded analytics.