It's similar to what we do with Power BI. It is used for dashboarding as well as a few analyses.
MBA, MS Business Analytics at a consultancy with 1,001-5,000 employees
Complex, with long load time, but is good in terms of resources
Pros and Cons
- "When compared to Power BI, Tableau has more readily available resources."
- "People are migrating to Microsoft BI due to the speed, which is quite slow to load, and the lack of visualization options."
What is our primary use case?
What is most valuable?
When compared to Power BI, Tableau has more readily available resources. In any kind of material, learning material, or if I find a new chart and decide I want to do it, Tableau is more easily available than Power BI.
What needs improvement?
It's a little more complicated than Power BI.
More visualization options, but not the same as in Power BI, where there are simply more options. I see very few options here. Many of these must be customized and custom-built, which is a lengthy process.
I would like to see more options in visualization customization.
People are migrating to Microsoft BI due to the speed, which is quite slow to load, and the lack of visualization options. There are a few default options in Power BI that Tableau does not have.
I would like to see the added visualizations and possibly an easier way to process data, which are useful now that we all have Power BI, there is a whole power query interface that directly links to Microsoft BI, whereas with Tableau, I would have to go through an entirely different process for it.
For how long have I used the solution?
I have been using Tableau for one year.
We use the latest version.
It can be deployed both on the cloud and on-premises.
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What do I think about the stability of the solution?
Tableau is very stable, but it takes too long to load.
What do I think about the scalability of the solution?
Scalability has been fine. So far, I believe it has served our purpose.
We have more than a hundred users in our organization.
It is being extensively used, but it is getting to be lesser now.
Which solution did I use previously and why did I switch?
We have also used Power BI.
We found Power BI to be more useful than Tableau.
How was the initial setup?
Tableau was already set up when I arrived.
What other advice do I have?
It is purely a visualization tool, as opposed to Power BI, which has connectivity to the entire Microsoft product suite, including your Excels and other tools, which Tableau does not.
I would rate Tableau, a five out of ten.
Which deployment model are you using for this solution?
Hybrid Cloud
If public cloud, private cloud, or hybrid cloud, which cloud provider do you use?
Microsoft Azure
Disclosure: I am a real user, and this review is based on my own experience and opinions.
Data Management and Analytics Manager at a comms service provider with 1,001-5,000 employees
Expert SQL skills not required, easy to use, and flexible
Pros and Cons
- "The solution is easy to use, flexible, our clients enjoy seeing the data on maps, and you do not need to be an expert in SQL to use it."
- "There could be improvements on the mobile application, it is lacking features."
What is our primary use case?
We use the solution to allow management the ability to create dashboards for our data center.
What is most valuable?
The solution is easy to use, flexible, our clients enjoy seeing the data on maps, and you do not need to be an expert in SQL to use it.
What needs improvement?
There could be improvements on the mobile application, it is lacking features.
For how long have I used the solution?
I have been using the solution for approximately one year.
What do I think about the stability of the solution?
I have found the solution to be stable.
What do I think about the scalability of the solution?
The scalability is good, we have 100 users using the solution in my organization.
How are customer service and technical support?
I am not satisfied at all with the support response, it takes a lot of time. Some tickets will take more than 10 days to have an answer, this is not helpful. There is some documentation that is very useful on their site. This is the worst support I have experienced, the support could definitely be faster.
Which solution did I use previously and why did I switch?
We were using Qlik Sense before this solution.
How was the initial setup?
The installation is straightforward. The time it took for the installation was approximately four hours. However, the configuration takes a lot longer but it is not a problem with this solution it is common for configurations to take a while.
What about the implementation team?
We did the deployment ourselves. We have a team of two administrators doing the maintenance for the solution and a team of four for the development of the dashboard.
What's my experience with pricing, setup cost, and licensing?
There is a license required, we pay an annual license which is priced fair.
What other advice do I have?
I recommend this solution to others. We are satisfied with the solution and are going to keep using it in the future.
I rate Tableau an eight out of ten.
Which deployment model are you using for this solution?
On-premises
Disclosure: I am a real user, and this review is based on my own experience and opinions.
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Senior Manager Analytic & Insights at a hospitality company with 10,001+ employees
A powerful, secure, and flexible end-to-end analytics platform
Pros and Cons
- "Tableau is easy to use and it has great predictive features."
- "It would be nice if we could export more raw data. Currently, there is a limit as to how much data you can export."
What is our primary use case?
We use this solution to process and create reports for management.
Within our organization, 10 people in marketing use this solution.
How has it helped my organization?
With Tableau, we can create our own reports which in turn, saves us tons of time as we don't have to wait for IT to do it.
What is most valuable?
Tableau is easy to use and it has great predictive features.
What needs improvement?
It would be nice if we could export more raw data. Currently, there is a limit as to how much data you can export.
For how long have I used the solution?
I have been using Tableau for roughly three years.
What do I think about the stability of the solution?
Tableau is very stable.
How are customer service and technical support?
The technical support is pretty good.
How was the initial setup?
The initial setup is quite straightforward. It's not too complex.
What about the implementation team?
We deployed this solution on our own.
What's my experience with pricing, setup cost, and licensing?
The price of this solution could definitely be lower. It's quite expensive. We're on a monthly subscription — I am not sure exactly how much we pay.
What other advice do I have?
Tableau allows us to go deep inside the data — other solutions, like Excel, don't allow you to do that.
As a BI tool, I would give Tableau a rating of eight out of ten — it's one of the easiest BI tools available; however, it's not that easy to manage orders. It's really user-friendly for individual users, but it may not be suitable for large organizations.
Which deployment model are you using for this solution?
Private Cloud
Disclosure: My company has a business relationship with this vendor other than being a customer: Reseller
Intuitive and user-friendly UI helps naive users easily click and connect, drag and drop, and build fantastic visualizations
Pros and Cons
- "It has been the best tool to work with from a self-service point of view."
- "Licensing and pricing options could be made better so that more users would be able to use it."
What is our primary use case?
This product is for non-technical users who know, or may not know, what they need but would like to automate their processes.
How has it helped my organization?
It has been the best tool to work with from a self-service point of view. The explorer capability in Tableau allows analysts to connect to data sources published on the tableau server, build their own product and customize reports.
What is most valuable?
The extremely intuitive and user-friendly UI helps naive users easily click and connect, drag and drop, and build fantastic visualizations. Of course, the back-end data structure needs to be strong for them to be able to do that, but it saves them a lot of time.
What needs improvement?
Licensing and pricing options could be made better so that more users would be able to use it. The biggest concern any organization has is its budget when trying to implement a new product. Tableau is an extremely powerful tool and hence expensive, but if there was a way to cut down the cost they would end up attracting more users.
For how long have I used the solution?
Seven years.
Disclosure: I am a real user, and this review is based on my own experience and opinions.
Director, BI & Analytics at a leisure / travel company with 10,001+ employees
If you're evaluating Tableau as a potential data visualization solution, consider these points.
Pros and Cons
- "Visualization attributes: Marks – Color, Size, Label, etc.. Easily Accessible and Intuitive."
- "Small multiples (a.k.a. Trellis charts) are possible only through very hacky means. Update: Still remains a challenge."
***We've upgraded to 2018.1 So I've updated the Pros and Cons accordingly!"
I've been working between Tableau and Qlikview (depending on use case) and have been jotting down Pros and Cons of each as I come across them. Many of these, but not all, are centered around some fairly specific UI functionality and limitations that I've come across while trying to deliver on various dashboard solutions. If you're evaluating Tableau as a potential data visualization solution, some of these points might help with your evaluation, or at least I'm hoping so! One caveat I will apply to the "Cons" section is some of these may in fact be resolved in the latest version, or may be achieved through some means that I'm just not aware of (though I do generally research pretty extensively before throwing in the towel).
Pros/Strengths
- Multi-dimension Graphs, side by side bars
- Formulas/Calculations are a familiar structure to many (IF..THEN.. ELSE)
- Visualization attributes: Marks – Color, Size, Label, etc.. Easily Accessible and Intuitive
- Very good Geo/Mapping capabilities
- Built in Table Calculations (% of Total, Rank, etc..) Update: Even more intuitive now.
- Publish to PDF. Despite trying to encourage users to interact with the live tool, there seems to always be some need for this.
- Story Creation for presentations.
- Free Tableau Reader – You can create ‘Packaged Workbooks’ and those with Reader can open the file and manipulate the dashboard. (No ability to refresh the data)
- Easy Cube Connection. Though it can still be quirky and limited relative to using other data sources. You can't for example, use LOD calculations. If you plan to use Cubes as a data source, be sure you thoroughly understand the limitations.
- Tool Tips (Hovers). Easy to add all kinds of additional data to hovers. Update: The Viz in tooltip feature is fully baked and in certain circumstances, very useful!
- Adaptive sizing based on display resolution. Also something Qlikview does not do - you must develop for particular display size/dimensions. Update: I've since learned that it generally makes life easier if you still used fixed dimensions for your dashboard.
- Drag and Drop Hierarchy creation
- Device Layouts (Mobile, Tablet, etc.). Update: Rumor has it Tableau is currently working on a better Mobile solution.
- URL Actions - Allow you to enable workflow between Tableau and other Applications through click-throughs and parameter insertion in URLs.
Cons
- Small multiples (a.k.a. Trellis charts) are possible only through very hacky means. Update: Still remains a challeng
- Sparkline Tables are not supported. There are tutorials on how to accomplish this, but as with small multiples, it is hacky and limited. Update: Still remains a challenge.
- Heavy data prep needed. Blending within the tool is clunky and causes performance hits. Some functions are limited or unavailable when using blended data (e.g. LODs) Update: Blending has improved but it is still generally a better practice to do all your data prep prior to ingestion. Tableau Prep now exists to help with this, but it is still very much in its infancy.
- Sorting on joined data requires hacks. Update: Unchanged
- No easy ‘Clear’ to remove applied filters and/or Exclusions/Keep Only, which makes it sometimes easy to lose sight of how exactly the data has been filtered. Update: Unchanged
- Combo charts unavailable without Date dimensions Update: Unchanged
- Dynamic column headers/aliases difficult and hacky. I find this limitation particularly frustrating. Example use case: I have two columns - Current Month, & Previous Month. As these will always be dynamic, I want them instead to display the actual Month as it changes (e.g. Apr-2016, Mar-2016). Update: Very unfortunately Unchanged.
- Can’t format a single measure column in a table (e.g. make one bold or conditional format) Update: I've heard rumors that this is now easier, but have yet to identify how.
- Image thumbnails in tables not supported. In my last two roles this has been a fairly large impediment. I'm likely not the only one. Qlikview, SSRS, & Even MS Powerview/PowerBI are able to support this. Update: Unchanged
- Large Table reports with many filters (our case was 14 columns, 300K rows, and about 8 quick filters) to narrow the data set – Don’t bother! It will be excruciatingly slow even on the server. Tableau will likely say this is not what it is intended for anyway (it's a Data Viz tool, not a Report tool), which is fair, but sometimes it's necessary as part of a larger solution. Update: This seems to have improved some though you still run into the limitation of 16 columns. Rumor has it, this will be done away with in future releases.
- Any questions, or comments? All feedback is welcome.
Disclosure: I am a real user, and this review is based on my own experience and opinions.
Ejecutivo de cuentas at Kantar Worldpanel
An excellent tool for data capture, processing, and visualization
Pros and Cons
- "This service is the combination of very pleasant, interactive graphical visualizations along with the application of advanced statistical models (in some cases)."
- "It is an excellent tool for data capture, processing, and visualization."
- "The use of this service in the desktop version is annoying due to the constant updates which lead to reinstalling the application. If they could give support with updates on the same downloaded version, it would be great."
What is our primary use case?
I knew this service from my academic field and was able to transfer it to the workplace. It is an excellent tool for data capture, processing, and visualization. The application of statistical models on the data displayed is very useful, and it is not complicated.
How has it helped my organization?
Tasks which may have involved days, even weeks, I was able to solve them in a very short period of time, thanks to Tableau.
Information which was housed in a database, used for exploring, ordering and applying statistical models for analysis can be complex when involving different software. However, it was easy to do using Tableau exclusively.
What is most valuable?
What hooked me to this service is the combination of very pleasant, interactive graphical visualizations along with the application of advanced statistical models (in some cases).
What needs improvement?
The use of this service in the desktop version is annoying due to the constant updates which lead to reinstalling the application. If they could give support with updates on the same downloaded version, it would be great.
For how long have I used the solution?
One to three years.
What's my experience with pricing, setup cost, and licensing?
I like the payment model. For the people who need to create, they buy their licenses. Everyone else can use the free Tableau Viewer. This is much better than some of the competitor products, which require full licences for everything.
Which other solutions did I evaluate?
I have trialed a number of different tools similar to Tableau. There seems to be a whole group of them. However, I found that Tableau was by far the easiest to use. Within about 20 minutes of playing around I was able to quickly make fantastic looking, incredibly useful charts that I struggled to make in Excel or other data discovery tools.
What other advice do I have?
I have only trialed it. I could not get this product signed off due to budget constraints, not related to Tableau (which is far from the most expensive out there).
Recommendations to others considering the product: Trial it and play around with it. You will be amazed at how quickly you pick it up.
Disclosure: I am a real user, and this review is based on my own experience and opinions.
Business Analyst at a financial services firm with 10,001+ employees
Most of the configurations are accessed by drag and drop, so very little actual programming is required.
What is most valuable?
I have been using Tableau to visualize data sets. The three features that are most valuable to me are:
- Ease of use. Most of the configurations are accessed by drag and drop, so very little actual programming is required.
- Interactivity, especially the ability to use tool tips to identify exactly which points are plotting in an unusual or unexpected position. This is the first step in distinguishing outliers from important data features, which is an important part of data exploration.
- The ability to easily annotate and export finished plots for presentation purposes.
How has it helped my organization?
I have previously used Excel or R to perform exploratory data analysis. Tableau is easier and quicker, which means results can be obtained more quickly.
What needs improvement?
Some of the command choices have to be memorized and are not intuitive. It could be even easier to learn.
For how long have I used the solution?
I have used it for about three months.
What was my experience with deployment of the solution?
No issues with deployment, except I wish a version was available for Linux (Ubuntu).
How are customer service and technical support?
I haven't needed technical support yet.
Which solution did I use previously and why did I switch?
I previously used R for data exploratory analysis. I'm choosing Tableau because it is quicker, and exploratory data analysis by its nature requires a large variety and volume of output.
How was the initial setup?
Initial setup was very simple; standard Windows installation.
What about the implementation team?
Just me... No problems. Just note that Tableau workbooks are stored in their own file structure by default, not in the file where the data originated or where the exported charts are stored.
What's my experience with pricing, setup cost, and licensing?
Tableau has a free trial, free versions for academic scholars/faculty, and a free public version. The paid versions are a little pricey, but likely worth it.
What other advice do I have?
There is a public version you can implement for free. Its main restriction is the variety of data source connections that it supports. You can still work with the typical text or Excel files, but live database connections are not supported.
I think it's great at what it tries to do.
Disclosure: I am a real user, and this review is based on my own experience and opinions.
Business Intelligence Specialist with 5,001-10,000 employees
It helps you reach the specific chart that you need and you can add any kind of additional data at any time.
What is most valuable?
I really like the design of the charts. The rapidness of the development is impressive. Its full set of options helps you reach the specific chart that you need and you can add any kind of additional data source (Excel, flat file, databases) at any time.
In comparison to others, this product gives you the power to make any chart that you can imagine with your data, getting insights with the results and leveraging the need of a “metadata” model behind it.
With the rapidness of the development, the business user only needs 1/5 or maybe 1/10 of the time required to perform analysis and achieve results; they can just use drag & drop.
The most important and valuable feature is the ability to merge any kind of data with your data set, even cloud data (web services). It gives the business user the power to analyze something new with his own datasources.
How has it helped my organization?
My company is a Tableau partner, and we are located in Lima, Peru. We used it to perform a geo-spatial analysis of prospects, and we created a distribution of them with a drill-down analysis for future clients, so we can segment the appointments and the demo presentations.
What needs improvement?
Tableau lacks a lot of ETL capabilities. Of course, it’s not the core of the product but it is the best tool for data discovery and really needs an ETL or data quality module inside of the suite. Enterprises have to use another tool (such as Alteryx, IBM DataStage or Talend Studio) in order to support some business needs. But this entails additional cost, maintenance, resources, etc.
Tableau will add a lot of capabilities for data blending, joins between different data source, etc., in its next version, Tableau 10.
For how long have I used the solution?
I have been using Tableau Desktop for three years. I began with version 7.0.
What was my experience with deployment of the solution?
Tableau is easy to deploy.
What do I think about the stability of the solution?
Stability is great.
What do I think about the scalability of the solution?
Scalability lacks some features. For example: governance, better clustering, dual authentication, detailed options of security, events manager, etc. That is why I only see Tableau as a data discovery and dashboarding tool (for senior management).
How are customer service and technical support?
Support and customer service is good, not excellent. 8/10
Which solution did I use previously and why did I switch?
I was using SAP BusinessObjects for four years, then I met Tableau and I realized how discontinued the SAP product was. Of course, all the BI platforms think that way, they were discontinued with the monolithic vision of data warehousing.
Then, all of the data-discovery tools appeared and all of us were amused.
I chose Tableau because it can give you answers very fast without the intervention of IT (most of the cases).
As we can see in the Gartner Magic Quadrant for Business Intelligence and Analytics Platforms, Tableau is the leader among all the data-discovery tools, Tableau defined the BI trend, and now the rest of the BI platforms are incorporating these functionalities and improving them.
How was the initial setup?
Initial setup was easy, the commercial department of my company adopted the tool right away and start creating its dashboards.
What about the implementation team?
We implemented this with an in-house team. We used the product portal in order to learn about its development and we used some classrooms in the region for Sales, Tableau Desktop and Server.
What was our ROI?
Tableau offers a rapid ROI in comparison to other tools. It’s a very cheap tool, but it has some barriers in big enterprises.
What other advice do I have?
They should read about compatibility. Before implementing Tableau, they should meet with the business users and ask:
- What are your needs in business intelligence?
- Do you have some information silos?
- Is the generation of information a manual process?
The BI area should perform a self-assessment of a business intelligence roadmap in order to plan the development of the product, the areas involved in the pilot, the information needed to achieve the business goals and define the final architecture for the BI deployment in the near future.
Disclosure: I am a real user, and this review is based on my own experience and opinions.

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