If you have the budget, Tableau Server is the way to go!
September 04, 2018

If you have the budget, Tableau Server is the way to go!

Satish Dharmarajan | TrustRadius Reviewer
Score 9 out of 10
Vetted Review
Verified User

Overall Satisfaction with Tableau Server

At Rollins, the Tableau Server is used within the Marketing area and primarily with the intent of sharing dashboards/ analyses with the Marketing Leadership Team and at times with leadership outside Marketing. It allows us to share analyses, with the option to dive deeper where necessary and based on the audience/ questions of interest.
  • Having access to the server, the report developer only needs to send a link to the report to her audience, not the entire physical file or data behind it.
  • The reports are dynamic. As the data behind them changes, the developer is not forced to send new reports each time.
  • The reports remain dynamic. This allows for the user to look at what is pertinent to them and not necessarily a static version of the report. They can apply necessary filters as needed.
  • The report user also has the ability to create their own Tableau reports using the data exposed to them through the dashboard. Self-empowered users are that much more effective in their own work product!
  • Scaling Tableau Server comes with a big price tag.
  • In an organization that does not already have Tableau as its enterprise reporting tool, driving adoption is very tough. People tend to slink back into the comfort of excel analyses.
Tableau Server is well-suited for when the report layout can remain mostly static but the data behind it changes regularly: think sales performance reports. Now think about not having to create them more than once or emailing the refreshed reports. That's the power of the server.
It's not appropriate for a very wide audience when Tableau is the enterprise analytics software.

Tableau Server Feature Ratings

Customizable dashboards
9
Report Formatting Templates
8
Drill-down analysis
10
Formatting capabilities
10
Integration with R or other statistical packages
9
Report sharing and collaboration
10
Publish to Web
10
Publish to PDF
10
Report Versioning
8
Report Delivery Scheduling
9
Pre-built visualization formats (heatmaps, scatter plots etc.)
10
Location Analytics / Geographic Visualization
10
Predictive Analytics
6
Multi-User Support (named login)
10
Role-Based Security Model
10
Multiple Access Permission Levels (Create, Read, Delete)
10
Single Sign-On (SSO)
10
Responsive Design for Web Access
10
Mobile Application
8
Dashboard / Report / Visualization Interactivity on Mobile
9
REST API
Not Rated
Javascript API
Not Rated
iFrames
Not Rated