Review of Tableau Public for reports and dashboards serving banking clients
August 19, 2019

Review of Tableau Public for reports and dashboards serving banking clients

Hiren Mistry | TrustRadius Reviewer
Score 8 out of 10
Vetted Review
Verified User

Overall Satisfaction with Tableau Public

Tableau is being used to make sense of the plethora of data to CxO team and bank-clients. It is used across the organization. It solves the problem of generating insights and aids in making a quick decision. Internally, it helps discover data patterns such as customer purchase behavior, sales trends, or production bottlenecks.
  • Excellent, mind-blowing variety of visualization wizards
  • Lightweight and secure
  • Variety of data sources supported by its connectors, from plain file, Excel, RDBMS, and Hadoop to NoSQL databases.
  • Easy deployment to production.
  • Padding and working with null or missing values.
  • Expensive Licenses
  • Slow rendering when the data volume is huge.
  • Real-time changes in visualization as the underlying data changes.
Tableau Public provides a variety of visualization and point-and-click functionality, with little or no scripting, gives Tableau the advantage. Also, being lightweight, Tableau Public finds the ease of use from our PSU bank-clients that use low-end hardware and devices. Tableau public helps raise satisfaction index, by way of ease of use and beautiful visualizations.
For a data warehouse environment, where a post-facto analysis is done, Tableau is well suited. For generating insights or summary analysis and for predictive analysis. The visualization, coupled with critical thinking, aids in data storytelling. For real-time dashboards, where refresh rates are high coupled with high data volumes, Tableau is less suited.

Tableau Public Feature Ratings

Pre-built visualization formats (heatmaps, scatter plots etc.)
9
Location Analytics / Geographic Visualization
10
Predictive Analytics
9
Customizable dashboards
10
Report Formatting Templates
10
Pixel Perfect reports
8
Drill-down analysis
7
Formatting capabilities
8
Integration with R or other statistical packages
7
Report sharing and collaboration
10
Publish to Web
10
Publish to PDF
10
Report Versioning
9
Report Delivery Scheduling
8
Delivery to Remote Servers
8