Tableau Reviews

It was used for a project in the capital finance domain. We used it to develop the dashboards. My role was to plan the development activity and prepare the dashboards.

All features are valuable. It is very user-friendly, and it is mostly drag-and-drop. If we have the dataset available, then we can develop any dashboard very quickly.

SAP BusinessObjects has some semantic layer designs that give the flexibility to do ad hoc reporting or dashboard designing. If that can be brought into Tableau, it would be great. We have the data in the database, but we should also be able to bring something between the database and the dashboard and do some semantic layer modeling for ad hoc reporting requirements.

I have been working with this solution for almost three years.

It is very stable and user-friendly. It is overall good.

I have used it only for building dashboards. I have not used it much for other areas, so I don't have any inputs about its scalability.

Its users are from the finance department. There are more than 20 people for that project, and they are using different dashboards. Its usage would expand in the future. They have a plan to also use it for machine learning. I am not sure if that would be a different team or if we will be involved, but machine learning is coming into the picture in the future.

We have experienced people in the company. Whenever we are stuck with something, or we want to achieve something new in Tableau, we consult each other. We help each other, and we get the solution. There is also a Tableau community where we can get help.

For any technical support, Tableau administrators raise the ticket and get the answers from Tableau's support team.

Initially, they were working on SAP BusinessObjects, and then they moved to Spotfire. After that, they moved to Tableau. SAP BusinessObjects was more for reporting purposes, whereas Tableau is for dashboarding purposes.

We also liked Tableau, and that's why we moved to Tableau. It is more user-friendly, and it is also better than SAP BusinessObjects in terms of look and feel. 

Its initial setup was easy. The time taken to develop dashboards depends on the dataset that we want and the data source with which we have to connect. We have to create the data source and the dataset, and then we have to develop the dashboards. If we have the datasets available and we have an understanding of the requirement, then in one or two days, we can develop a dashboard.

For its maintenance, there are three people in a project, and we are able to manage their requirements. There is one administrator and two developers.

If you have more ad hoc requirements, then I would recommend evaluating other BI tools as well. If you have fixed requirements and you know what type of dashboard or reporting is needed in advance, and it is not going to change very frequently, you can go for Tableau. It is very user-friendly. If product owners or users want to go for a self-serving tool, Tableau is the best option.

I am satisfied with it, but there is always a scope for improvement. This is a competitive market, so there will always be some scope for improvement. I would rate it a nine out of 10.

We are using Tableau to make a dashboard used by our internal users, and then it is being used for a KPI report. This part is also shared with our customers. The customers access the web, and they check some limited version of the KPI report.

We are using the Tableau server for clients and desktop. The solution is deployed on-prem. We are kind of a 3PL provider, and we are using Tableau to meet the requirements of our customers. We are implementers.

We introduced Tableau because it provides many features that can be customized by users. We provide training to make the dashboard look how our business side wants, and they are manipulating the dashboard for their needs.

On the technical side, we are IT support and sometimes we provide some education and information on how to use the solution.

I think it would be much better if Tableau provided some API-based integration. I did try to integrate the Tableau web page and web dashboard into our own application. Some parts were successful, but other parts have some open points. If Tableau provided this kind of package with some integration, it would be much, much better.

The most valuable feature is that we can integrate with our own database, and it will display the KPIs. This is highly required from the business side.

An improvement would be changing the design of the layout of the dashboard from the business side. Sometimes there are requests for the possibility to enhance the performance and the data depending on what they need more of. It depends on the situation.

I have been using Tableau for about four years.

It's already using 32 gigabytes of memory, but the performance is not so good. It's very heavy.

We have roughly 20 people using this solution. Most users have the role of logistics operator. Most users are doing their job regarding logistics, and they take more effort to make dashboards.

Currently, we have a strategy to open the reports to all customers, but I think we should develop more business-related skills, not only with the system or in some application terms. Our users do not have enough skills or insights for the dashboard.

We are doing our own technical support by searching the technical Wiki or things like that.

Initial setup is straightforward because it's a simple concept.

I'm not sure how long deployment takes because this is usually managed by our data engineer. There's no strategy regarding deployment itself. We just make some temporal or test dashboard and then communicate with our users. After confirming, we just announce it with email, and then they start to use it as an official version of the dashboard.

We didn't use an integrator, reseller, or consultant for the deployment. The number of staff required for deployment and maintenance just depends on the case. Sometimes it will be simple, so there are only two or three people to make suggestions. After they apply that, sometimes we officially open it.

Basically, we prefer a permanent license. A one-time charge is much better.

We didn't really evaluate other options. Every application provides some concept of a dashboard in using the data in that application. We have our own homemade dashboard and our business application, but users normally don't use it.

I think Tableau has many features for display, like graphs or pie charts. We can change dynamically, but our own dashboard doesn't provide that. It takes much more time if we change the layout there.

I would rate this solution 8 out of 10. Tableau has many features, and it's very nice, but it is very heavy. Tableau has to consume a lot of server resources.

It has many options and features but it's complicated. The users are having problems or difficulties to adapt or to learn the Tableau software because there are so many features. The many possibilities means that users should run a lot of it. It takes time to get used to Tableau. From my point of view, it's harder to learn.

For those who want to implement this product, I recommend that they research it themselves.

Right now I use Tableau for learning purposes, such as open data sources, trying to learn the various visualizations that can be done on it.

I liked the representation of the geospatial map. It was really cool to have that visual and be able to create hierarchies using the geolocation cities, states, just wording those names into appropriate provisions on the map. So that's really something nice. I feel the visualizations come out very pretty.

The price is definitely a point that can be improved because smaller firms, like my bank firm, don't use Tableau because it's an expensive tool. If there were an option that catered toward smaller firms, that would be great because Tableau does in fact help with a lot of different kinds of data sources. For instance, it lets you upload CSV on Excel. However, other tools that we currently use, such as Looker, do not let you upload Excel files for ad hoc analysis. So, definitely, this is something price-wise that can be catered toward smaller firms.

Creating variables, creating new fields in Tableau during analysis, actually adds columns to the data. That's something that could potentially give us an option. Do you want it as a column added to the data set or do you want it ad hoc in the visualization sheet? So if you create a measurement or a dimension, that creates a new column, but if you try to create a new filter directly on the visualization, it doesn't let you rename it. Basically what you see is just the calculation that you put in there. If you wanted to create something without making it an extra column in the data set, you can't just rename it to a more user-friendly short name. An improvement would be adding the ability to rename ad hoc creations if you do create a mark or a filter on the visualization. That doesn't really get added to the actual data fields.

I've been using Tableau for a few months now as a learning, research activity rather than a day-to-day activity at work. So I primarily was going to a Tableau Public Learning.

As of now, I haven't had any issues with the stability of the solution. Not any glitches.

Given that it's Tableau Public, I don't feel I could give the right answer to that. However, given that you could share your visualizations on a server without sending a file to people, scalability seems like a good option here.

I have not used their tech support, but I did refer to a textbook to learn how to use Tableau.

Tableau has resources for learning using videos as well.

My company currently uses Looker, not Tableau. I've been working on Tableau on my own time outside of work, trying to learn their free application, Tableau Public.

The setup was pretty straightforward. It doesn't take much to get it all set up.

Tableau is an expensive tool for smaller firms.

Do take time to learn the solution, because Tableau has a lot of features, a lot of complex visualization features that can make the visualization pretty powerful. I would advise people to learn it completely so they can use Tableau to its full extent rather than just ad hoc simple visualizations.

I would rate Tableau right at 8.5, leaning toward 9.

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 primarily use the solution for data visualization and data analytics. I normally use it for analyzing data from social media, for social media analytics, mainly Twitter and data from the Twitter API. I use it to analyze what is being said on social media and also to look at the interaction on social media on specific topics. 

I also use it for educational purposes. I analyze the data from student information systems to check about their student progress and provide visualizations about this data.

I create a lot of dashboards, mainly using these tools. 

Tableau helped our organization to provide our ckients organizations with cloud-based  Data Analytics service. Through using the Tableau's anilities in the field of Data Analytics, and Data Preperation & Transformation, and Data Visualization
we collect, cleanse, transform client’s data and discover insights and patterns in this data. Using Tableau, we help our ckients to improve the way data is utilized to support the decision-making process, enhance strategy implementation, and apply KPI monitoring within the business process. Tableau helped us to provide our clients with data driven decision making power through utilizing high quality  data analytics and vizualization so that they can continue to comply with the standards and best practices in teir field of business.

The solution is very flexible. The ability of filtering and segmentation of the data makes it very flexible compared to other tools.

The ease of use is great. It's a good platform from an ease of use point of view. It's easy to use and easy to learn. The learning curve is not difficult to grasp. 

The user interface is very friendly. The onscreen help, and also the resources that Tableau provides, including training videos, a support website, and knowledge base, are very helpful. 

I use the Tableau training portal and I found it very enlightening. It provided me with online training and certifications. I use it mostly for strengthening my abilities in Tableau.  

I like the way it integrates with multiple data sources. The data blending aspect of Tableau, in which I can blend and merge data from multiple sources, is great. I found that the things that I was doing previously, such as using SQL or other tools over the course of hours I can do in Tableau within minutes. Instead of doing my job using SQL with multiple queries and instructions, now I can do it in Tableau in minutes.

Its ability to handle large amounts of data is very important. 

The initial setup is easy.

I would like to have the product be more flexible in terms of creating online shared dashboards. When I need to publish a public dashboard, I use Tableau Public. However, I don't find it flexible compared to Tableau Online, which is the paid version. Tableau Public is a free Tableau portal in which I can publish my data, however, Tableau Public doesn't provide the flexibility that I find in Tableau Online. If we compare this with other tools, such as Zoho Analytics, for example, publishing web-based shared dashboards is more flexible, in terms of publishing web-based shared dashboards.

If they can add the feature of machine learning and the predictive analysis to Tableau, it would be very helpful. After Salesforce acquired Tableau, they have been merging Salesforce with Tableau, in terms of machine learning. That said, in this case, I need to use two products - Salesforce and Tableau. I want to have the Einstein tool, which is available now in Salesforce, be integrated into Tableau, so I don't have to use Salesforce for machine learning, to use the Einstein tool, and I can use Tableau for the product. If the Einstein tool for machine learning is integrated into Tableau, that would be very good for us.

I've used the solution for around four years. 

The stability has been good. In general usage cases, it's reliable andhere are no bugs or glitches. It doesn't crash or freeze. But we face some stability (crash or freezsing) and performance (slowness) issue with large datasets especially when we export our Tableau visualization to Tableau Public.

Basically, I'm the one using it. However, others consume what I make. I create the dashboard, I create the analytics, and I give my analytics as a shared dashboard or as reports to the decision-makers and other employees. Normally they consume what I do, however, for the creation of dashboards, creation of analytics, I do the job. I'm the main user in that sense. 

It's very scalable, especially if you choose the online option.

Technical support has been great.

The implementation process is not difficult. It's very easy. When I use Tableau Online, it is given as software as a service, which means I don't need to deploy anything. I just give the username and password, and I use it directly without any issue. For the Tableau Desktop, I need to install the software. It's a very normal installation and happens without any issue.

We handled the implementation process ourselves. It's pretty easy. therefore, we didn't need outside assistance. 

The return on investment from Tableau is very high.

The pricing of the solution is very good. We find it much cheaper than other options.

I'm just a customer and an end-user. I have tried several times to have a partnership with Tableau, however, it seems a little bit difficult getting the partnership. This is maybe a negative aspect in terms of having a partnership program. It's not easy to have a partnership or a fellowship relationship with Tableau.

I'm using Tableau Online, as software as a service, and I'm also using Tableau Desktop. I use it on my machine.

I really recommend it for any organization that wants to have data visualization with a tight budget.

I would rate the solution at a nine out of ten.

We have a lot of use cases. We use it for real-time finance dashboard, real-time operations dashboard, and marketing insights.

Self-service is most valuable. Users can pick up quickly and do the resolution. There are a lot of out-of-the-box features, and it satisfies most of the needs. If users are properly trained, they can deal with any situation.

The Tableau community is really good. If we have an issue, it is already answered in the community.

We need big servers to perform the operations that we are doing. They should probably relook at its architecture. 

There are limitations to the data source that we are building. We can put only 32 tables in a data source, which means we have to transfer some of the workload to a database.

I have been using this solution for eight years.

Scalability depends on us. It depends on how we are configuring it based on the users' needs and experience. It has nothing to do with Tableau.

We have about 70 active users at any time of the day. Even Tableau was surprised to see that level of active users.

They're good. We have got enterprise support or premium support, so they respond quickly.

It is easy to set up. It is also easy to manage. Ours is a huge implementation, and we have five people for maintaining this solution. They take care of user provisioning, dashboard creation, and other admin work.

It is more expensive than other solutions.

I would recommend it depending on the use case. If you have money to spend and want something done quickly, then definitely go for Tableau.

I would rate it a nine out of 10.

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. 

We just created the data visualization and analytics models and the complete setup file was sent to the client for deployment in their own premise as that was their client policy. We just created the solution and the solution was transferred to them.

We were trying to create a dashboard for the contractors in an oil and gas plant. It's for a million-dollar company. That was the level one priority. The use case involved a pilot project meant to drill down the visualization of each contractor and the sub-KPIs at a sub contracting level, plus the geographies involved. Tableau is a data visualization tool with analytics involved in it. The art was to create a set of dashboards that were geography-specific plus contractor-specific. Along with that, there were some common KPIs against which the visualization was supposed to cover as well.

The best part about Tableau is the visualization. 

Tableau has some amazing features. We can have some additional UI features that act like a skin. You can get it to really customize to your needs and then you can incorporate items as a plugin in your Tableau version and the user interface.

The graphics are quite good.

The solution can scale.

Technical support was helpful.

We found the solution to be quite stable.

Tableau is good, however, it lacks a bit on the integration side if you compare it to Power BI, for example. Power BI has quite a good amount of connectors. Even though Tableau does have some, Power BI works well with the Microsoft environment and most of the firms are in granular detail. That's where Microsoft shines. Maybe Tableau can collaborate with other bigger, well-recognized solutions in order to get an edge in the market the way Power BI does with Microsoft. 

The pricing is a bit expensive.

There's a bit of a learning curve for those new to implementing the solution.

We've been using the solution for less than a year so far. In the last eight months, we've developed and deployed the solution. We haven't been using it as long as, for example, Power BI.

It's a reliable solution. There's no doubt about it. The solution is stable. It does not crash or freeze. There are no bugs or glitches.

For deployment, the capacity was increased. It required really strong contractors also. That was easily manageable. It is quite scalable.

We had a team of around 20 developers who are working on the solution.

We only dealt with technical support once or twice. There wasn't a lot of interaction in the time we used Tableau. That said, they were always helpful and responsive. We were happy with their amount of assistance. 

We are also using Power BI. We use both products currently.

For us the solution's initial setup was complex as we were just aware of how to use Power BI previously. It was a completely new solution. We had to get an instructor to get the things in place.

I'd say it was about an eight-month installation process for the particular software. In-app work was one month and then seven months of development everything and all over the board.

We had an instructor assist us in the implementation process. and show us how to use the product.

We bought a monthly license as we were not able to continue with it long-term. It was simply a specific client requirement that was not needed forever.

The pricing of Tableau is a bit on a higher side compared to Power BI, however, for us, it didn't matter much as we were charging it to the client. That said, for a normal end-user, it would be considered a bit pricey compared to Power BI.

For Tableau we have been using only for a specific team within that also was for the external clients. That experience was only around eight months. However, it was a pretty good experience. Up to that point, we had been strictly using Power BI. Adding Tableau was for a specific client who just wanted the Tableau licenses created and developed for them.

We were using the latest version. It was not a cloud version. It was the desktop on-prem version we were using.

The solution would work well for small, medium, or large enterprises. It caters to all different sizes of companies.

I'd rate the solution at an eight out of ten overall. We've mostly been quite happy with it.