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Tableau Desktop a tool for BD and BI
February 22, 2018

Tableau Desktop a tool for BD and BI

Arlex Guzman | TrustRadius Reviewer
Score 9 out of 10
Vetted Review
Verified User

Overall Satisfaction with Tableau Desktop

In my work we use Tableau Desktop to do graphical analysis of data associated with the operations of the services we offer, the unit that is responsible for using it is the statistics management, our business is air transport, in specific air traffic services which are required by airlines and airports, the studied data is processed with Tableau Desktop to make graphics that allow us to identify patterns and facilitate content for presentations, reports and operational reports. Tableau Desktop is a fabulous tool for the diversity of types and graphic formats, for the versatility to establish relationships with data from different databases, the interface is intuitive, queries are very easy to do, regardless of the origin of the data, has tools to do data mining and consequently business intelligence, in our case it is very useful to relate things such as the volume of route operations depending on the cost of fuel, or determine the profitability of a route or create different scenarios and study the sensitivity of the operation in its different dimensions.
  • the quality of its graphic tools.
  • the intuitive and easy in the elaboration of database queries.
  • I think Tableau should improve interoperability with document editors such as ms word.
  • Support in multiple languages is necessary.
  • I have tried and read about another product like Power Bi Desktop and it is similar to Tableau Desktop but with the advantage that the latter is free.
the option is that Tableau Public has the features of Tableau Desktop available for free, at least for a trial period.
Tableau Desktop is a graphical analysis tool for Big data and business intelligence, these are areas where you can take advantage of a sognificativa, however I think there are others where it would not be so, for example it would be an opportunity for its developers to get into the field of technical analysis of financial markets, that is, developing tools that allow Tableau Desktop to be used for such applications.

Tableau Desktop Feature Ratings

BI Platform ()
Not Rated
Supported Data Sources ()
Not Rated
9.0
Pixel Perfect reports
9
Customizable dashboards
9
Report Formatting Templates
9
8.5
Drill-down analysis
9
Formatting capabilities
9
Integration with R or other statistical packages
9
Report sharing and collaboration
7
8.5
Publish to Web
9
Publish to PDF
8
8.7
Pre-built visualization formats (heatmaps, scatter plots etc.)
9
Location Analytics / Geographic Visualization
9
Predictive Analytics
8
8.5
Multi-User Support (named login)
9
Role-Based Security Model
8
8.0
Responsive Design for Web Access
8
Not Rated
REST API
Not Rated
Javascript API
Not Rated
iFrames
Not Rated
Java API
Not Rated
Themeable User Interface (UI)
Not Rated
Customizable Platform (Open Source)
Not Rated

Evaluating Tableau Desktop and Competitors

  • Product Features
  • Product Usability
  • Analyst Reports
  • Third-party Reviews
The most important factor in the choice was the potential of their visualizations.
Well, I would consider evaluating licensed products (client server) that are not in the cloud.

Using Tableau Desktop

To perform a visualization, the data is needed, they can be in different sites: servers, internet, different formats: SQL, excel, acces, in both cases Tableau Desktop is able to interoperate with them and make them available to the operator so that the work is very easy, the only thing that you should have is some basic knowledge of the database to start using it, if the objective is to use it for BI or BD or to make infographics or executive or alert reports because it is necessary to master them relevant concepts to those areas of knowledge.
ProsCons
Like to use
Relatively simple
Easy to use
Technical support not required
Well integrated
Consistent
Quick to learn
Convenient
Feel confident using
None
  • Links and queries to databases
  • intuitive handling of data
  • Establish relationships between different database fields and display the corresponding visualizations