Todas las historias de

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.

Desde el rediseño de la experiencia del cliente hasta el desarrollo de modelos de pronóstico más precisos, todas las empresas necesitan una estrategia de datos y análisis. Esta debe permitir que todos los miembros de la organización vean las necesidades de los clientes en tiempo real, así como imaginar situaciones, identificar deficiencias, poner a prueba las ideas y mejorar los resultados con información útil.

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.