Tableau Reviews

Overall, I am satisfied with Tableau.

When compared with Power BI, Tableau is much easier.

The charts need to be improved. The drawings and the visualization need to be more accurate.

I would like to see the visualization improved.

I have been working with Tableau for four months.

I am working with the most recent version.

So far, Tableau has been stable.

I can't say that it is scalable, as I am still learning.

Because I'm taking a data analytics course. I should begin with a product. At the moment, I am our company's only user.

I have not reached out to technical support. I haven't required any assistance. The guide was sufficient. I typed in Google and found the answer to every question I had, whether it was in a form or a guide itself.

Previously, I worked with Power BI.

The initial setup was easy. They have a guide available.

The deployment can take anywhere from an hour and a half to half a day.

I was able to complete the deployment, download, and installation with the help of the guide.

For me, for right now, the price is reasonable. Tableau is free.

You won't have to do anything if you read through the guide.

I would rate Tableau an eight out of ten.

Tableau is used for reporting time in the dashboard and also for skills in maintenance and metrics. That's pretty much it.

The dashboards are great.

The solution offers very good reporting.

It's a stable solution. We've never had any issues with it.

We have found the scalability to be good.

There are no significant improvements needed. 

It would be nice to include more features on each dashboard. 

I've been using the solution for a couple of years. I've used it for a while at this point.

The stability and reliability are good. There are no bugs or glitches. It doesn't crash or freeze. 

The solution is scalable. It's not difficult to expand it to your needs.

We are a really big company. I'm not sure exactly how many people actually use the solution. In our department alone there are at least 50 users. That's a small team, really. I'm sure it's used extensively globally.

I have not heard of plans to increase usage in the future. 

I don't have experience with technical support. I can't speak to how helpful or responsive they are as I've never been in contact with them.

This product was already in place when I was hired. I'm not sure if something different was used previously.

The installation was handled before I came on board. I was not a part of a process. I can't speak to if it was difficult or not.

It's a hosted solution. We don't need a team of engineers on it from our end.

I can't speak to the pricing. We're a global company. Another team deals directly with contracts. 

I would rate the solution at an eight out of ten based on my experience and what I know. 

My client was initially using SAP BO as a reporting tool. This client added another entity to their organization and considered using Tableau for reporting purposes. The reason for choosing Tableau is because it is easy to use and we already had some developers with experience using Tableau. We have not done a complete migration from SAP BO to Tableau due to the volume of reporting still in SAP BO which Tableau cannot handle. 

When creating reports for entities with less data, we make use of Tableau. We have trained 10 to 15 developers for this reporting. It took two to three months for them to master reporting in Tableau. 

We use Tableau to create reports based on geographical maps to show the impact of natural hazards on the insurance industry. This solution offered us the flexibility and ability to visualize this type of information. We also use Tableau to host reports which are published on a weekly schedule to certain user groups. 

Tableau has data relationships that can be applied to a data source which helps build out a directory which is helpful. Data blending has also been valuable to us.

The extraction, transformation and loading of data in Tableau takes a lot of time and we do not have confidence that Tableau is showing all the data we need. This is due to limitations on data extraction which needs to be improved.

We experience user restrictions using Tableau and require a more dynamic setup for extraction of data, configuration of reports and providing access to users. 

Tableau useful for dashboard reporting, however, there are limitation on the number of rows of data you can view in a report. It is for this reason that we use Tableau alongside other reporting solutions. Tableau does not support any HTML coding in the same way Power BI does. 

There is a maximum number of tables we can use in Tableau. This could be improved in a future release.

I'm have been working with Tableau for seven years.

Tableau is a stable solution. 

This is a scalable solution. 

We continue to use SAP BusinessObjects Business Intelligence Platform. 

Tableau is a business intelligence tool. It allows you to extract specific insights and analyze data. It comes with many add ons and features including stories and dashboards. Our biggest challenge when using Tableau is the ETL size. It is for this reason we are switching to Power BI. 

I would rate it an eight out of ten. 

We use it for consulting and teaching purposes. We teach data science, and we use a data science tool. Most of the time, we use open-source tools, but we have also started to use some proprietary tools, such as Tableau. We will also explore other data science tools such as SPSS from IBM and SAS. 

We are using Tableau to teach students. We create a story on the data and teach them what kind of visualizations are more appealing to clients. The focus is on storytelling and what kind of visualizations are relevant for a specific business situation. 

We are using the latest version of Tableau, and it is deployed on my desktop.

From the data science point of view, we use it for model building purposes. For example, if we are using it for a bank and we want to understand how much loan the bank can provide, we can use visualization to show the educational qualification, salary, gender, and city of a customer, and by using this information, we can arrive at the loan amount that this person is eligible for. I can also use it to view all prospective customers, so essentially, this is going to help me in model building as well as in understanding and segmenting customers and doing forecasting and predictive analytics. 

We use model widgets, and we can create thousands of visualizations, such as motion charts and bubble charts. We can also create animated versions of the graphs and view the data from multiple dimensions. These are the features that we typically use and like.

I have used Power BI as well as Tableau. There are a couple of interesting features that I like in Power BI, but they are not present in Tableau. For example, in Power BI, if I am looking at country-wise population, I can type and ask for the country that has the maximum population, and it will automatically give an answer and address that query. This kind of feature is not there in Tableau.

Similarly, in Power BI, for integrating with the latest ML algorithms, we have decision trees and primarily multiple machine learning algorithms. The decision tree essentially visualizes the patterns in the data. We don't have such a feature in Tableau. If Tableau can integrate with the machine learning algorithms and help us to do visualizations, it would be a wonderful combination. Most of the people are going for Tableau primarily for visualization purposes. However, in the data science industry, users want to do model building as well as tell a story. As of now, Tableau is fulfilling the requirements for visualization purposes. If they can bring it up to a level where I can use it for machine learning purposes as well as for visualization, it would be very helpful. Many people who want to do data science don't want to write a code. Tableau is anyway a drag and drop tool, and if they can provide those options as well, it will be a powerful combination.

I have been using this solution for four to five years.

If I'm going to upload data of more than 10,000 records, then it might be unstable. With 10,000 rows and more than 100 columns, it really becomes shaky. However, this could also be because of the local infrastructure. For example, if I am using Tableau on my local machine with 4GB RAM, it might not be suitable.

There has been no need for scaling. We are actually connecting to an Oracle Database or SQL Server database, and we can take whatever data we require. We have 40 people who are using this solution in our organization.

We never took help from their technical support. We have experience in data science, and we know what kind of configurations are typically helpful. 

Its initial setup is very simple. We get the Tableau license code, and with a couple of clicks, we can set it up. It doesn't take more than two minutes to install it on our machine.

We implemented it ourselves. It doesn't require any maintenance for the purposes for which we use it. We use it for consulting and teaching purposes.

Its price is reasonable. Everything is included in the license.

Tableau is a wonderful tool, but you should know the proper methodology of using it and the specific situations for which it is helpful. This is very important. For example, we can use a knife to cut vegetables, but it can also cut my hand.

One should be able to understand the visualization that you are constructing in less than 30 seconds. Otherwise, the visualization doesn't meet the purpose. This is the benchmark that I have set myself.

I would rate Tableau a nine out of ten.

We have used it for our program correspondence, basically, so how to program report to satisfaction of different programs. It helps us obtain information. We also use it for visualization.

It allows us to basically understand and evaluate our numbers in an expedient manner. It doesn't require us to need a huge number of data bases that we need to manage. This solution sets everything up for us. It has a good ease-of-use.

In the past, we were using several different solutions, and the packages were insufficient for our needs. We used a lot of different software solutions, and extreme Excel, but it wasn't enough for our needs. We were also looking for something that was a bit more user-friendly. 

One of the most valuable features are the different visualizations. It makes it much easier for us to represent what the data is showing. The dashboard is great, and the visualizations are really what we focus on. 

It's as powerful if you know how to use it, so it's made as much as we know how to use it. It's enough, but there's much more of a need to understand what you do to operate the solution. To be able to do more, we need to set it up to do different things. It is fine, but we have not really invested time or people into doing this much.

I would like to be able to set the parameters in a more specific manner. I feel as if it's not a questions of whether the solution is sufficient, it's whether we understand how to use it to the best of its productivity.

It is a stable solution. I think we can use it for a while for a lot of different things. Again, we do not know the full scope of the capabilities. I think we are using it the best we can, but we could find better ways for it to best suit our needs. So, we just need to learn how to use it more efficiently.

The technical support is good. They give solutions to our questions. 

We previously used Microsoft BI.

I was not involved in the initial setup of the solution.

Most people buy software because they know that it will help them do one thing, but they use it a tenth of the potential of what it could be used for. So, if you don't know what that is, you're stuck at ten percent. Be sure to explore the full capabilities of the solution.

The price is competitive. We always consider pricing when considering a new solution. We are a non-profit, and pricing is a huge concern.

We always like to evaluate other products in tandem with what we are using.

When reviewing a possible solution, we always consider:

• Price
• Functionality

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.

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.

Some of the command choices have to be memorized and are not intuitive. It could be even easier to learn.

I have used it for about three months.

No issues with deployment, except I wish a version was available for Linux (Ubuntu).

I haven't needed technical support yet.

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.

Initial setup was very simple; standard Windows installation.

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.

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.

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.

I use it for management control and for balance sheet analysis. As corporale finance consultant, the core of my job is financial analysis/modeling. I added Tableau to my workflow to improve the decision making process of my clients make decisions but I found it very useful also to produce reporting for Financial Istitutions, Investment Fund, etc.

Tableau has improved the way our clients “read” what’s happening in their company, 

I think one of the best feature is usability: understanding  dragging & dropping Measures & Dimension is so simple that you can easily learn the software.

Tableau is very intuitive, it has not a deep learning curve so you can build your dashboards in short time.

The forecast instrument. I still use my primary software (that is Quantrix Modeler) to build my financial models. 

I’m not saying that is a “static” platform at the moment, it’s dynamic due to the fact that you can build parameters, however it's not the same as a spreadsheet in which you can write formulas and algotythms that are more and more complex. 

I have used Tableau since 2018. It's been about three years.

The stability has been good. there are no bugs or glitches. It doesn't crash or freeze. It's reliable. 

The solution can scale well. There shouldn't be any issues if a company needs to expand. 

I've dealt with technical support in the past. Two years ago I had a problem, a technical problem. It was a very serious issue with the software in my first installation and I came in contact with the engineer in London. They solved my problem very, very quickly. I've been quite satisfied with them overall.

The initial setup is very simple. It's not overly complex or difficult. A company shouldn't have any issues. 

While I handled the implementation myself, I chose to do a period of learning with the Information Lab a Tableau Partner company.  I took two courses to have a better understanding and to more quickly understand the possibilities I had to work with.

I have a Tableau license. It's very, very cheap. For the use and the capability of the software, it's $70 per month, it’ an awesome price.

Yes I did: MicroStrategy because , it was the first competitor of Tableau. However, there is no comparison. Tableau's the best platform for me and offers the best software.

We are only customers at this time. 

We are focused on producing and using Tableau only for our clients. We bought a number of view licenses and we give them to our client so they can use Tableau via the online version.

I'd rate the solution at a ten out of ten. I've been very pleased with its capabilities.