SEATTLE, Dec. 16, 2020 — Tableau Software, a leading analytics platform, has announced the general availability of Tableau 2020.4, which simplifies enterprise-wide data preparation and analysis by ...

Tableau is a data visualization tool that helps users create charts, graphs, maps and dashboards for visualizing and analyzing data. It provides a platform for understanding data, and for sharing ...

Beyond the headlines of the new natural language query, Tableau is diving deeper into data management in this release, dancing in territory addressed by partners. And while we’re talking natural ...

Tableau Software LLC, a Salesforce.com Inc. company, is adding new capabilities to its platform today to help companies better scale up their data analytics operations. The company is framing ...

At the Tableau Conference, new tools like Einstein Copilot promise to transform how businesses interact with data.

Collibra, Oracle, Tableau and Google Cloud Platform are among the best data management tools. Compare their pricing, features, pros and cons.

Connecting Tableau natively to Einstein Analytics data store to optimize performance and security. Data preparation tools to read and write to both Tableau and Einstein Analytics to ensure clean data.

Tableau Next, previously known as Tableau Einstein, leverages AI agents to help users interact with data via natural language.

Tableau competes with products including Microsoft’s PowerBI and offerings from other vendors of data visualization and business intelligence technology.

Data literacy is one of the most important skills people need to prepare for the future workplace. Find out what Tableau President and CEO Mark Nelson says about the importance of being able to ...

However, we had to implement data separation, so the employees from Siemens Energy cannot see the Siemens data and vice versa. This was achieved through a combination of ServiceNow as a platform, the ...

At Tableau Conference, leaders from the Seattle Seahawks, VMWare, and Jaguar Land Rover shared examples of successful Data Cultures in action.