Tableau Enterprise Reviews

We use the most recent version. 

We use the solution to engage the field teams and we integrate that with the data warehouse data and build the dashboards for them.

It is helpful that the solution provides access to one's own data. It allows a person to get insights out of the data provided by his tool, based upon the KPIs that the person wishes to look at. It all depends upon different use cases. We have dashboards for marketing people, field teams and executives. It all depends upon which insights a person wants, in which case he can prep the data accordingly. This is good. 

The most valuable features are the visualizations, the way they show the combination charts. This allows a person to jointly put in different measures in different axes and greatly facilitates the user in understanding the data better.

There should be a focus on memory data, which is the concept of Tableau. This is where they squeeze the data into their memory. Because of that, we see performance issues on the dashboards. The architecture should be improved in such a way that the data can be better handled, like we see in the market tools, such as Domo, in which everything is cloud-based. We did a POC in which we compared Tableau with Domo and performance-wise the latter is much better.  

As such, the architecture should be improved to better handle the data.

We are seeing a shift from Tableau to Power BI, towards which most users are gravitating. This owes itself to the ease of use and their mindset of making use of Excel. Power BI offers greater ease of use. 

For the most part, when comparing all the BI tools, one sees that they work in the same format. But, if a single one must be chosen, one sees that his data can be integrated at a better place. Take real time data, for example. I know that they have the live connection, but, still, they can improve that data modeling space better.

We have been working with Tableau for almost seven years.

The solution has pretty good stability. It's a robust tool, even though it has a steep learning curve. But, still, I feel that from the stability perspective, it's a leading BI tool in the market. It's pretty stable.

I personally don't like any BI tool to have that scalability. What we usually do is integrate scalability into our warehouse layer. We know how to scale up and down and we handle it there. We don't rely much on the BI tools to do that.

I am talking about the scalability of a program in general, be it in its relation with users or as it concerns dashboards. 

We recently started working with Tableau online and that particular solution is scalable. It ingests the hardware, the server capacity by itself. So, if users go from, let's say... 100 to 500, we don't see a dip in performance. It still behaves the same. Because of this new integration technology with the cloud, they are scalable in that regard.

We are in contact with technical support. One service we have is Tableau online. If we see a dip in performance, we raise a ticket to the Tableau support team, work with them and make certain they address our issues. I would rate my experience with them as three out of five. 

We used Tableau from the get go. 

While I was not directly involved in the setup, I know that it's not that easy. There is a need for a proper administrator who has experience in that field.

We used an integrator from Tableau when implementing.

Our experience was good and we were assisted with our implementation requirements. They were able to make notes to match our use case and answer all of our questions, including those concerning the number of users we have and how to set up the server.

I'm not part of the administrative group which handles the setup. I am mostly a consumer and responsible for building the desktop. I use the desktop version to build the dashboards and am not responsible for the server health check or maintenance. As such, I am not in a position to provide information about the staff required for maintenance, updates and checkups. There are a couple of people who are responsible for this, one from the customer side and another from our team. Both parties are in sync when undertaking these activities. 

I have no knowledge concerning the licensing costs of Tableau. 

The solution is mostly deployed on-premises, although we have also done cloud-based deployment. 

We have around 500-plus users making use of the solution and mostly 90 percent are viewers. We have very few creators or explorers. Creators comprise seven percent and explorers three percent. 

My advice to others would vary depending on their use cases, what they're looking for and the level of competency they have within their organization to use it. Tableau has a steep learning curve. So, it depends upon one's use case, the reason the person is going with that specific BI tool. The procurement department would need to evaluate the use cases very carefully, because there are so many BI tools available in the market. One's focus should be more on a centralized tool when bringing a new one to his organization. It should address all the answers to one's users, like what they're looking for. Definitely Tableau is good in the data discovery part and it can handle large data sets. So, all of these things should matter when one is trying to evaluate a tool.

I rate Tableau as a seven out of ten. This is because we are using it and it has a steep learning curve. It's not user-friendly. One must build a competency in creating the visualization and then support it. All of these things matter when one is evaluating a tool. That's why a shift is going towards Power BI.

We do tons of data analysis for the organization to try to plan for resources that are needed in the infrastructure, specifically servers, storage, and that kind of stuff.

There are about 30,000 devices that we have to manage. We need to make sure that we have what we need for our internal customers, which is a really tough task unless you can analyze data every single day. We look for all sorts of anomalies about how the devices are functioning or how they are growing in consumption. We pull up about 1.1 billion rows of information every single day about what they're doing, and then we've got to take that mountain of data and pick out what we are concerned about. Tableau is key in providing that information to our internal customers and just analyzing different sets of data, such as the asset data and the consumption data. It is just data analysis all day long. That's basically what we do.

The data visualization piece is most valuable. We do ad-hoc analysis or one-time shot things, but there are things that we have to track every single day. When our management and our customers want to see how things are changing, the dashboarding provides that information. Tableau is key in providing that data on a refresh basis. We use a data blending tool that pumps the data into Tableau, and we just schedule it to run every single day. So, the automation of the data and being able to present it to people who are interested are the most valuable features.

Its price is a concern. It is more expensive than Power BI. The other thing that I never liked about Tableau is its ability to handle large sets of data. To present the data in the dashboards, we have to stage it up exactly like it is going to come into the dashboard. We use another tool called Alteryx that does that for us. So, we manipulate the data, get it staged, and then push it into Tableau. Tableau is terrible at handling large data sets, and we knew right away that we couldn't use Tableau to do data manipulation.

I have been using this solution for ten years.

It is a stable and mature product.

It is able to scale to the user base that we have, but pulling large sets of data into the dashboard can be problematic. You have to reduce the data to only what you're going to present, and that's it. Otherwise, it is unusable in my opinion.

We've got hundreds of users on the product. When I came to this organization about five years ago, Tableau was fairly new, but it grew very quickly. Initially, only I and a couple of other people were using it, but now the user base has grown significantly.

Their support is good. They provide good training and all sorts of stuff.

We have a whole group that manages that. We don't get involved in it. We just ask for it to be installed and available, and they support it.

Its price is a concern. It is more expensive than Power BI. My guess would be that it is $1000 or less per year.

We might go for Power BI in the future because of its umbrella with Microsoft licensing. It is much cheaper for us to use Power BI, and some folks will go in that direction because they don't want to pay the higher license.

I would recommend getting Tableau to help with the training because there is a learning curve with it. Make sure the training piece is in place, and your account rep provides resources to get people started because it does take a little bit of training to get proficient at it.

I would rate Tableau an eight out of ten. It is not perfect, but it does the job for us.

We use Tableau for the all kind of dashboards.

Tableau as a BI solution provides a platform to develop user-friendly, story telling dashboards, which provide insights to help management take decisions.

The solution has a lot of customization when comparing to Microsoft BI.

The customization requires a lot of effort and should be simplified. The performance could be better. When comparing the performance of Tableau to other solutions, such as Microsoft BI, they are not as good.

I have been using Tableau for approximately four years.

The stability is very good.

Tableau has good scaling capabilities.

We have approximately 30 to 40 users using this solution in my organization.

The support is good for Tableau. However, if we ask for a certain feature they will not entertain us, unless other customers are also asking for the same feature.

Positive

We previously were using Microsoft BI and we switched to Tableau because of the increased level of customization it provides. Microstrategy can also be a considerable alternative.

The installation is complicated and took us approximately four hours.

It would be best to use an integrator or other professional assistance for the implementation.

We have approximately two engineers that handle the maintenance of the solution.

Our management can take decisions based on insights provided by Tableau, which are smart and help us reduce costs and data issues.

There is a license for the use of this solution and it is on a per-user basis. The server is free but the users you have to pay for.

We performed a POC before going with Tableau, we tried Power BI because Power BI is competing against tableau. But to use Power BI at its full potential, you need the Power BI cloud edition, which our organization cannot go with. So the obvious choice was to go with Tableau.

Tableau is very good, but customers have to understand the requirements of hardware and software the way Tableau works. If they have some requirements that Tableau cannot meet, they will understand how to do it in an alternate way.

I rate Tableau an eight out of ten.

Our clients from different industries use Tableau for data visualization purposes. 

Tableau's most valuable feature is its ability to connect with various data sources and display real-time data on three different dashboards. It stands out in handling and utilizing data compared to other products like Oracle BI.

There should be stronger data modules for the platform.

We have been using Tableau for the past one and a half years.

The platform is relatively stable. I rate its stability a nine out of ten.

The platform is highly scalable. I have five clients, and the total number of users across all clients is around 300 to 400. I rate its scalability an eight out of ten.

The platform's technical support services require improvement. There should be enough support during the deployment.

Neutral

The platform is deployed on the cloud and on-premises. Its initial setup is straightforward. It took about an hour or two to deploy. I rate the setup process as a nine out of ten.

The pricing of Tableau should be better to remain competitive in the market, especially when compared to alternatives like Power BI. By adjusting the pricing, it can appeal to a broader range of markets and attract more customers.

I rate the platform an eight out of ten.

Our company uses dashboards to understand how much we can improve the situation, track performance in real-time and help managers react faster to non-obvious things.

For our clients, we carry out system integration, and pilot projects, develop first dashboard layouts, provide system support during integration and post-sales service, and provide training to our clients. The main goal of customers is to understand whether they will get profits in the future or not and be able to influence the situation right now.

Tableau helps the company to see insights. It will allow profit or loss to be predicted, but very flexible to react to changes.

Tableau's dashboard allows teams to see what's going on at a high level. Our company sells software licenses and it's very important for us to be able to track license expiration dates that may expire in the near future and to be able to contact customers and ask them to renegotiate contracts or to warn customers in time about possible license renewals or additional purchases of new licenses.

Instead of going deep into the CRM in detail, we can do it directly from the dashboards generated by Tableau, saving ourselves time and increasing our productivity.

Other customers can use the solution to check the duration of certain transactions. They can see how quickly they are completing transactions in a call center, for example. They can look at targets and get alerts to help them improve results.

Users don't have to wait for monthly reports, Tableau allows users to view numbers to make real-time decisions. It is easy and intuitive to use and has quick access to analytics, high performance even for very big data, and a built-in ETL tool to clean and prepare data.

Both web and mobile versions are supported. Updates take place at least once every three months. We always get the latest version with the latest features.

There is a huge community of Tableau users - 99.9% of questions are answered.

The solution integrates well with Python and R. The solution scales well and it is very stable.

The setup is quite easy and the technical support has been responsive.

Despite the number of available interface languages, I would like to see as many languages as possible represented in Tableau. So many companies really want to use this program and it suits them better than any other similar programs, but due to the lack of understanding of English, it is difficult for them to decide to integrate this particular product.

In addition to the existing set of common data types, Tableau Desktop has such a wonderful thing as a union of data on the principle of relationships for Multi-table. This type of union is very easy to work with the data source itself and does not overload the system.

At the moment, this type of union only exists for connections from databases. It would be nice if Tableau added this type of merging for data sources that are on the Tableau Server/Tableau Cloud.

Every three months, Tableau adds new features. There are always new features coming up.

I've used the solution for two years. 

It's stable. It's reliable and has a good security program. 

The solution is very easy to scale. The Blueprint methodology shows how large companies can successfully implement and develop it.

We are a small company. Right now we have about eight users of the solution. Part of them prepare analytics and manage the solution on the server side as the analysts, architects, and solution engineers, and the rest are people who use the solution as users, viewers, and explorers.

We have full technical support for our clients. When we get a new client, we provide full support and handle pilot projects. We can also provide dashboards. We have a community for clients that are new to the solution.

Our company would like to improve the culture of data in our country. We're working to provide learning resources and free YouTube lessons to help new users understand the product. 

As a company, we provide Tableau support for our clients. If our company cannot find any solution ourselves, we contact the brand's technical support, and they respond very quickly. Depending on the complexity of the problem, a solution can be delivered within two to three days up to a week.

In the past, I have also used Excel and some Power BI.

In our company we like to say that there is no perfect BI, only the tool that suits you and your goals. Therefore, most companies choose to work with a different set of tools, sometimes combining several different ones. The main thing is that they all work towards your main goal and the achievement of your results.

Despite the fact that the company sells both Tableau and Power BI, we mainly use Tableau.

The initial setup is very easy. That said, it's best to prepare your system. You need to understand how your system will be able to integrate with it. You also have to understand your data.

It can be set up by one person if it is a small company and he is well versed in the product and in his system. However, if the company is large and the process is complex, then of course a team of several people may be needed to share the integration process between working with server setup, analytics department, and working with clients.

The service can be set up completely automatically. This will depend on the server the company uses and whether additional add-ons for working with Tableau are enabled. Automation makes it easy to check data flows and dashboards, simplifies server operations and monitors errors that occur, and sends alerts or warnings if they occur.

The price is still quite high for many Tableau customers. That said, the company understands the value the solution provides. That, and the integration process is so much easier with Tableau. Even with the licensing being so high, it is worth it due to the simplicity and finally, they see the financial return of using the product.

I'm an analytics lead. I'm an integrator of the product.

We work with Tableau Cloud and with the Tableau Server.

Make sure you are really ready to integrate with Tableau. That will make the deployment go much more smoothly. Users that are fully prepared will be able to get the most out of it. If they are not prepared, they will not use it to the fullest extent possible. Sometimes you have to change not just the tool; you have to change the entire company's process. The product implementation needs to be considered at all steps, both within the company and for all stakeholders.

I'd rate the solution nine out of ten.

I have used Tableau in the past with other clients for enterprise-level data visualization for financial and manufacturing industries. I have also used it for documents dashboard and different kinds of KPI visualizations. I'm currently using it for academic purposes. In my current organization, we are not using Tableau. We are using Power BI.

Tableau is very flexible and easy to learn. It has drag-and-drop function analytics, and its design is very good. It is a very good tool, and it basically brings life into data with good design. We have been creating a lot of interactive visualizations and dashboards.

It has a public version. There are public communities from where you can get a lot of examples for practice.

Its price should be improved. Its price is much higher than Power BI and QlikView.

Programming is not easy on Tableau. For programming, you have to have a separate model. They should include programming directly on the web portion of the Tableau desktop so that people can write Python or JavaScript code for customizations instead of using a different model. Currently, Tableau Data Prep is a separate application that you have to purchase. It would be helpful if they can include Tableau Data Prep and programming languages such as R, Python in the next version.

Tableau Public, which is a community version, doesn't allow you to save your work on your desktop. They should allow it. Currently, you can only upload it in the community.

I've been using Tableau for almost eight or nine years.

It is very stable. 

It is scalable. They have a cloud version, and you can implement it on the cloud.

Their technical support is good. Our own IT can also manage it, and I can also get support from Tableau.

We also use Dimension, Power BI, and QlikView. Domo is also there, but Domo is a little bit more expensive. Microstrategy is also a little bit more expensive, and it has different media storage.

Its installation is straightforward. It is a one-click installation. 

I installed it myself on my laptop.

Its price is higher than Power BI and QlikView. Tableau costs around $70 per user per month, whereas Power BI is around $8 to $9. QlikView is around $30. 

Tableau has various prices for various models such as Creator, Designer. 

I would recommend this solution if you do not have budget constraints. It is a very good solution with excellent visualizations. I plan to keep using it for academic purposes.

I would rate Tableau a nine out of ten.

I use Tableau to understand how day-to-day business is going, where the gaps exist, and the KPIs. We use it for target analysis, identification, performance tracking, and financial metrics. 

The features I like most are data manipulation, Tableau Prep, the ability to do manipulation on the desktop, its connectivity to different and vast data sources, the capacity to handle such huge sets of data, and its flexibility to play around and create calculated fields and customized charts. LOD expression is also fantastic. Another useful feature is drag and drop, which means that if you're not into creating data manipulation, data comes very clean and clear to you, and you just have to drag and drop to create a job. This gives an upper hand to the end-user to work on the analytical tool and create their own dashboards. And even on the Tableau server, they can create their own metrics and publish them as a simple dashboard. You can create a view as per your user.

When you're working on a dashboard, you can't select multiple components at a time and align them, so you have to go one by one. This is very cumbersome if you're floating, and it loses in comparison to Power BI, which does allow multiple selections. In the next release, I would like to see an enhancement of the prescriptive analytics features.

I've been working with Tableau for a year and a half.

Technical support is more-or-less fine, though we have had a couple of cases where we weren't satisfied. We have had to ask our senior management to intervene sometimes because the support period has gone beyond fifteen or twenty-one days.

Neutral

I consider Tableau to be the best analytical tool available. It's really handy to use and can be used by non-technical people. For those thinking of implementing it, you can go with Tableau Online if you don't do too much data manipulation on the Tableau desktop itself. Try to keep it in a different layer of Tableau Prep and also make sure that your desktop is not heavy and leverage the features properly because Tableau offers a lot. I would give Tableau a rating of eight out of ten.

I am using it for my personal use. I'm using Tableau Public. It is a downloadable version. I downloaded it to my system and installed it.

The feature that is currently most valuable is the import feature where I can link to an Excel data source. I'm not using it with any other data source, such as SQL Server. I directly link it to an Excel sheet, and if I change anything in that Excel sheet, the changed data immediately gets reflected in the virtualization. This is something that is very convenient for me as of now.

Its documentation can be improved so that a user can get a good hands-on experience. Tableau is well documented, and on their website, there are a lot of tutorials that are available for free. I started my learning process through those tutorials, but there are certain loopholes in those tutorials, which only got filled through a couple of good YouTube channels that talk about Tableau. YouTube helped me a lot. So, the documentation could be better, I understand that it is evolving day by day, and with more usage, there would be more such documentation.

There are a couple of features that are only available in the cloud version, and I would like to see them in the hosted version. We can only use them in a demo or temporary account for 10 or 15 days, but I would love to see those features in the hosted version that I am using, which is Tableau Public.

I have been using Tableau for almost one and a half years. 

It is stable, but at times, I have seen that it doesn't work for certain datasets. If the data is not correctly sanitized, there are chances that you would end up having no visualization at all, even after spending a lot of time. So, sanitization is a must in Tableau as of now. Other than that, I've not seen anything else. There are no bugs, but if the data is not sanitized, you will not get any visualization. That is a problem. 

It is pretty scalable. There is no doubt about it. In the cloud version, a live data source can also be integrated. So, it seems pretty scalable, but I've not tested how scalable that version is.

I don't have any experience with their technical support. Whatever I've learned to date is from online resources such as YouTube and my personal sources. I've not contacted Tableau support.

Its initial setup is quite straightforward. It took me a while to understand that this version is also available for free for users like me who want to understand the data visualization part, but its installation is pretty easy.

I'm using Tableau Public, which is free.

I compared it with QlikView, which is a leading data visualization tool, but because I had heard a lot about Tableau and I had seen that there is a lot of scope in the market to get hired, I decided to go ahead with Tableau. 

I would rate it an eight out of ten.

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.

We can do many things with Tableau. I only use it for simple cases, but you can do many things with the device.

Tableau makes changes frequently. Any feature I am looking for usually is part of the next upgrade within a few months. They have a very good dynamic evolution.

The user story model is the most deceptive part of Tableau. It is a big marketing option, however, the reality is that it is not enough.

I have been using Tableau for two years.

Tableau is a good product. 

The advice I would give to someone looking to use Tableau would be to get prepared.

I use Tableau for BI and business subject, I would rate it a 9 out of 10.