Tableau Reviews

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.

We primarily use the solution for our data visualization, our different types of data. It is linked to our normal data visualization. It's not usually related to the medical side of the business. However, it is related to the revenue, and financial accounting, and submission on the RCM side. 

If I compare Tableau with Power BI, I prefer Tableau. It's easier to use.

The solution has very good drag-and-drop functionality and the screens are easy to navigate. You can easily create measures and dimensions. It has a user-friendly layout that makes task completion simple. In comparison, in Power BI, all of these actions are quite cumbersome.

It is quite similar to Excel. If a person has good Excel knowledge, it will be quite intuitive to learn.

Tableau is the whole package.

The solution allows you to write in SQL and Python. We don't need to write the Python code and we don't need to write the SQL script. However, it is an option that's on the table.

The solution is very stable.

You can scale the solution well.

It's very easy to set everything up.

There is another ETL tool for Tableau that is new. It takes time to reach some level of experience. IN Power BI, they have Power Query. I find it easier to convert the information in Power Query with a single shortcut key. That's not an option in Tableau. 

You have to prepare your data. It will take a lot of time to clean the data. 

There's no mature ETL tool in Tableau, which is quite a negative for them. They need to offer some built-in ETL tool that has a nice and easy drag-and-drop functionality.

There needs to be a bit more integration capability.

I've used the solution for about six months to one year. It wasn't very long. I used it at my previous organization. We're also using it at my current company. At this organization, we've only had it for about three or so months. It's quite new here. 

The solution is extremely stable. It's much more stable than, for example, Power BI. There are no bugs or glitches. It doesn't crash or freeze. It's very reliable. The performance is great. We've never faced any stability issues while using the product.

I'm not sure how many users we actually have within the company. 

Tableau is one package and there isn't too much complexity. The main pieces are Tableau itself, Prep Builder and Tableau Server, and Tableau Mobile. Sorry, Tableau Online. These four are the most basic software pieces of Tableau.

Whenever you purchase Tableau, you will pay a bit more and more. You will have access to the four main software products. After this, there is no need to purchase something extra. Therefore, in Tableau, there is no scalability issue. In comparison, if you will to Microsoft, there is a lot of products - such as Power BI. There is Power Automate RPA and Power Apps and MicroPower Apps also. You will need to call to Microsoft and they will integrate this Power App with your account. It takes time. With Tableau, there isn't an issue like that. 

We haven't had any sort of technical issues. They did assist us a bit at the outset. and they were very good. They are always online and easily approachable. We're quite satisfied with their level of service.

We also use Power BI.

The initial setup was very simple. It's not a complex process.

They have an excellent team here over at Tableau. They assisted us. 

The setup wasn't too difficult due to the fact that our system is not very complex. We work with rather simple data, which helped save us from suffering through many complexities. 

Maintenance is required at our database level. Our database is smart and lean, and therefore it's pretty straightforward. However long it takes for maintenance tasks is based on the level of data and on the heaviness. We basically do a sort of troubleshooting and some fine-tuning at the database level.

At the time of making visualization, we have to do some research to load everything properly on Tableau and have a refresh rate we can maintain. There should not be too much of a refresh rate every time. 

We had Tableau's technical team help us here and there. They were great and we were satisfied with their help.

The pricing is $70 per month. You have to pay about $800 or something in that ballpark annually for one license.

We are a customer and an end-user.

We are currently using the latest version of the solution.

I would recommend the solution. If a company really wants to go for some easy solutions, and something that is robust and dynamic this is a great option. Microsoft's Power BI also has its advantages and could be a good option as well, depending on what a company needs. If Mircosoft offered a bit more, we might even consider switching over. However, for us, Tableau is the better option. 

I'm using Microsoft Power BI also. Therefore, personally, I see the importance of the ETL tool. Microsoft is also adding many items rapidly - with new features two or three times a month. Tableau isn't making such advances regularly. 

Many people are considering shifting from Tableau to Microsoft very seriously. Therefore, Tableau needs to begin to compete. They need to offer more integrations and invest in a robust and easy ETL solution. It would really assist in cleaning the data.

If a company wants to onboard Tableau, they need to have some sort of ETL tool on the side as well. If they don't, and they don't have SQL or Python, I'd actually direct them to Power BI - simply to get that ETL capability. However, if the data is ready, and no ETL is required, Tableau is an excellent solution. If you just need to visualize the data, Tableau is the best.

Overall, due to the lack of ETL, and the inability to effectively clean the data, I would rate the solution at a six out of ten.

Tableau is very good in the front-end visualization compared to Power BI.

The look and feel of Tableau are the best when compared with Power BI.

Power BI meets with my expectations but the wow factor is in Tableau.

An issue that is common to both Tableau and Power BI is with large data sets. When it comes to large datasets, the data should be extracted faster.

Tableau should offer the end-user a desktop version that is free where they can go in and practice. There are other solutions that offer it for free such as Huawei, and the desktop version of Power BI is also free.

People tend to know if they want to learn visualization. They don't have a proper tool in place, they don't know how to or where to go to learn. If you give them the tool to learn and let them explore when they want to go into production, people are able to purchase the license. A 14-day trial version would not be enough time.

If they want to be competitive in the market, the price must be improved.

They should allow more than a 14-day trial version. It should be a longer duration otherwise no one will want to learn it.

Tableau is $35, whereas Power BI is only $9.90. Tableau is not competitive and should reduce its price.

SQL is the most important. Writing SQL queries is very important and that's the first foundation I would recommend for any juniors to start.

If they're not very strong in SQL then they will not be able to write the functions for both Power BI and Tableau. SQL is the foundation for anything.

I would rate Tableau a seven out of ten.

There are many and various use cases. Some use it internally for inter-department analytics, sales analytics, campaign management, and sentiment analysis.

The most valuable feature is the richness of its visualization and from a self-service standpoint, the ease of use.

The interface is fine. The functionality in the UI front is good as well.

It integrates easily.

From a UI visualization standpoint, I think it's pretty robust.

The data processing in Tableau is pathetic compared to Qlik.

In Qlik, I can replace my ELD layer for an application. This can't be done in Tableau.

The initial processing of data in Tableau takes a lot of effort.

If there could be a feature that a particular visual can be exported or just the data behind the particular visual can be exported in one single click, just one button on a visual and it exports the relevant data out to Excel or a CSV output, that would be good.

I have been using Tableau since 2014, maybe even before that.

It's pretty stable.

It's decently scalable. I have been able to scale it pretty easily.

Technical support is good. On a scale of five, I would say four.

The initial setup is neither straightforward nor complex.

Pricing is not bad. It's competitive.

I'm a BI Architect.

My recommendation for this solution would depend on the use cases.

I would rate Tableau and eight out of ten.

We use Tableau for BI reporting.

The most valuable feature is the interface, which is user-friendly and intuitive. Even for somebody new, who has no idea of how a BI tool is supposed to function from a technical standpoint, it is very intuitive. You simply import the data and then use the drag-and-drop capabilities.

Data cleansing and data transformation functionality need to be improved. Tableau is not a full-stack BI tool, like Sisense. Including this type of functionality would add flavor to the tool.

The main point is that Tableau requires the data to be in a certain format for the end-user, in order for them to create charts. If it's not in a certain format, or in a certain structure, then the user will have to manipulate it.

The charts in Tableau are quite limited.

I have been using Tableau for a few years.

Tableau caters to a lot of databases and flat files, which means that you can connect to multiple data sources. In this regard, I would say that it is quite scalable.

We have between 40 and 50 users in the company.

We are quite satisfied with community support. It is always there if you need any help and I am pretty happy with it.

I have worked with other BI tools including Spotfire and Power BI. There are not as visually appealing as Tableau and I would stay that purely from the UI perspective, Tableau definitely has the upper hand.

Conversely, Power BI has some capabilities that are missing in Tableau. Examples of this are charts and graphs. If you want to create something that's customizable, it's a very difficult and tedious task in Tableau. This is unlike Power BI or Sisense. 

The initial setup is very easy. Once you download it, it is a typical setup with a series of screens where you just press the Next button. Anybody can install it in a few minutes.

I am currently researching Sisense to get an idea of what the pros and cons of the different BI tools are. Sisense is a more complete tool that includes data cleaning, data transformation, and ETL capabilities right in the tool.

Tableau, on the other hand, is used for visualizations, dashboards, and storytelling. Their data has been cleaned or preprocessed in an SQL database beforehand.

Tableau is a product that I recommend.

I would rate this solution an eight out of ten.

We use this business intelligence tool to build dashboards to display some of the statistical and analytical information that our company gathers. We develop a precision medicine software platform that enables academic and community healthcare providers to implement and scale precision medicine programming. We capture clinical data, genomic and other molecular data, biomedical knowledge, and the relationships among them. We also provide integrated complex genomic and clinical data to clinicians with actionable insights. 

Previously, we built the dashboards manually but this practice proved to be inefficient and ineffective since it meant we spent a lot of time debugging. It's was hard to find developers capable of doing that kind of work at scale. Since the Tableau community user base is so big and a lot of people can use it; the widespread support is one of the biggest benefits. Besides that, it's a fantastic framework to build dashboards and innovative visualizations.

One of the most valuable features is that the solution allows users to build interactive dashboards. This allows the end user to modify the criteria or the filtering if need be.

As far as for my personal use as a QA Engineer, I really value how extensive their API document support has been.

Improvements can be made in template support. The workbook file structure is really hard to version control. If there was some sort of version control support offered particularly for workbooks, that would help big time.

Another note is that the interactions within the UI are not fast enough and in certain instances, there have been issues with the intuitiveness of the tool. Such as delays in configuring and achieving some specific effects. 

I have to say Tableau does have excellent and extensive online support.

The solution is stable. I've never had any problems.

My impressions of the scalability of this solution are that there are ways to make it as scalable as you want. There have been some issues with the amount of the data that we had to use on the platform. We ended up using the extracts. It works fine now. I would say it is scalable.

I haven't contacted their live support or emailed them. Their documentation is fairly extensive and we also had a training session conducted by one of their partner companies. It was the Tableau Accelerated Course and that helped a lot.

The initial setup was straightforward with respect to the deployment. 

Tableau provides a UI which can be used to build a clear graphical visualization that allows quick and easy data comprehension. This functionality really helps turn data into scalable insights. This makes things a lot easier for people who don't have coding experience and with dedicated people focused on managing the visualizations, not requiring them all to be developers or to have any coding experience is a real plus.

If I was to give this solution a rating from one-to-ten, ten is the best, I'd rate it a 9 because it does all that we require of it and more. I would recommend this solution to my colleagues from another company. It's a nice tool to work with.