Alteryx + Tableau

Region: Global
Partner Tier: Premier

 

Fuel your Tableau visualizations with Alteryx

Powerful data visualizations require rich, perfected datasets. Alteryx empowers analysts and citizen data scientists to create such datasets by providing an end-to-end platform that enables users to spend less time discovering, preparing, blending, and analyzing data for Tableau, and more time visualizing and sharing insights. Regardless of the size or location of data — local, on-premises, or in the cloud — users can easily apply advanced predictive and spatial analysis to their data through a drag-and-drop workflow. The resulting datasets are quickly converted to Tableau extracts (.tde or .hyper) for Tableau Online, Server, or Desktop, delivering richer and more impactful visualizations and dashboards for your organization.

 

Customer Testimonial: BAE Systems

By leveraging Alteryx + Tableau, BAE Systems — a leading global defense contractor — is realizing tremendous value. By using the intuitive Alteryx analytic workflows, BAE Systems is not only saving valuable time that was previously spent writing SQL and R code, but they are also able to update their Tableau dashboards more easily, making the process of converting data into shareable insights that much more seamless.

 

Partner Testimonial: Tableau

Tableau is great at helping people understand their data visually, but that’s just a fraction of the entire data analytics process. Together, Alteryx and Tableau round out the process by leveraging the power of Alteryx to easily discover, prep, blend, enrich, and analyze data before sharing insights at scale through beautiful Tableau dashboards.

 
 

Recommended Resources

 
Starter Kit / Template
Starter Kit for Tableau

Quickly get started with pre-configured Alteryx workflows and the corresponding Tableau visualizations.

  • Analytics Automation
  • Professional
  • Designer
Learn More
 
White Paper
Unify Your Geospatial Analytics
It used to be that if your government agency wanted the power of geospatial data, you’d have to hire GIS specialists and procure licenses to expensive specialized systems.
Read Now