Intuitive and easy BI ServerUnspecified8.2650101
Viktor Mulac profile photo
January 02, 2019

Intuitive and easy BI

Score 9 out of 101
Vetted Review
Verified User
Review Source

Overall Satisfaction with Tableau Server

I used Tableau as another BI tool, by the client where the Tableau server installation was used and most production reports were accessible here.
Tableau has proven to be a great tool for the collection of data from multiple data sources, with varying complexity -- we used spreadsheets, SQL tables as well as Google Analytics connection. The tool was a standard platform in a multinational organization and was used for years, so the data was already linked, including the local eDWH solution, providing support for regular as well as ad-hoc reports.
  • Many available plugins, incl. the one I have used for regional analysis (data enriched with addresses / GPS attributes)
  • Narratives (story building) is a great tool for creating and sharing your analysis with your audience
  • Data visualization is one of the best you can get today
  • Supports mobile usage
  • Connection to SQL database: by connecting it to a database, one has to employ an SQL specialist to write the script
  • No autosave function
  • No automatized notification feature (e.g. alert based on value out of range, in a report)
  • Very expensive solutions
  • Quick publishing of findings, the reports were easily shared with the target audience (analysts, managers) and any questions could be clarified in an efficient manner
  • Tableau mobile solution is impressive and still brings a WOW effect to the report consumer (especially if the user switches from Excel to mobile interactive Tableau)
  • Instead of sharing Powerpoint slides, one can share Tableau workbooks via its reader -- all the user has to do is to install this free application, then you can easily discuss anything online or on the phone
We implement the measurement methodology for a selected topic, prepare (preprocess) the data, connect to data sources, gather the data in to a Tableau DB, produce reports, present them, share them with the respective audience and finetune the model if necessary, as a result, the client managers or analysts end up with a new data gathering path, data preprocessing scripts and Tableau story, shared with the report consumers.

One remark to the cloud vs. on-prem usage -- the companies are not usually sure about whether to got for cloud or on premises version and want to investigate all cons and pros, calculate TCO etc. At the end, usage of BI in a cloud or on-premises is usually boiled down to a few topics, none of them being performance, price, or supportability in a production: today the most decisive factors are whether the firm should send sensitive data out of its IT perimeter, how to assure GDPR compliance, and security as e.g. available certification ISO27001 certifications.
Tableau has surely a good permissions model, it is however a bit surprising to see the number of areas where the rights can be assigned, the rules can be defined on a site level, on a project level, on user level or a group-of-users level, and finally also on a workbook and data source levels. This provides a large set of options and one must carefully define and fully understand what he or she does when limiting or providing access on these levels. It is a good idea to specify a group of users with administration rights, one can easily add or remove an admin quickly. The whole security concept can and has to be carefully defined together wiht business data owners and can be fully adapted to a corporate hierarchy.
The connectivity we have used was easily set up and involved files as CSV, XLS spreadsheets, Oracle and MS SQL database, Google Analytics cloud solution, as well as other relational data. Except for loading clean CSV files, you will always need a data engineer to assist in writing connections scripts, and creating a read-only database account.
There are several applications that one can use with Tableau server - online (web), mobile as well as specialized application Tableau Reader. An analyst can produce "views" that can be easily updated with new data and the views can be shared. Any user that subscribes for a specific view will get distributed updates via e-mail ...
In my view, the best way to resolve an issue is to visit the community web, read through issues and ask for help. I did not have to contact the tableau technical support. Online training, data, demos, as well as product documentation, are professionally prepared. The community is very helpful and in all cases helped to resolve what I needed.
If you have to quickly explore a large volume of unknown big data (really large tables), then Tableau is a great choice.
It is a great tool for any ad-hoc analysis that has to deliver an interactive story to management (client), it will not only deliver nice visualizations, but will also allow for drill-downs to the primary data and proof for your audience that your numbers in the presented graph are correct

Tableau Server Feature Ratings

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