Tableau Enterprise Reviews

Tableau can process a huge amount of data, which is one of my main criteria. Another significant feature is change management. Enhancements to existing dashboards or reports can be made quickly. The security of Tableau is also pretty good.

Tableau's ability to handle integration and the stability of the tool itself are the most valuable features. It can process a huge amount of data. Multiple sources can be connected to Tableau, and meaningful insights can be derived. Tableau serves as a stable dashboarding tool for higher management, aiding in quick decision-making.

The look and feel of the tool itself, including the dashboard features and data visualization, could be improved. The graphs in Tableau also have room for improvement.

I have around three to four years of experience using Tableau.

I would rate the stability of Tableau as nine out of ten.

I would rate the scalability of Tableau as around eight to nine.

I would rate the technical support at around eight to nine.

The initial setup of Tableau is straightforward. Tableau can be downloaded for free from the Tableau website, and it can be installed on a desktop for self-service design.

I am not directly involved in the pricing of Tableau, so I am not sure about the pricing, setup cost, or licensing.

The competitors of Tableau are MicroStrategy and Power BI.

I would recommend using Tableau, but there are other competitors like MicroStrategy and Power BI. The choice depends on the organization. If I were to rate Tableau, I would give it around an eight out of ten.

On-premises

We mainly use Tableau for financial presentations.

Tableau is extremely good at dashboard creation, providing clear and concise visual presentations. The most beneficial feature is its ability to present data cleanly and effectively. However, setting it up and using it with large datasets can be challenging. Tableau excels in visualization, making presentations efficient.

I find data prepping in Tableau challenging to understand, perhaps because I am new to it. It sometimes requires extensive investigation to determine why the data does not appear correctly. Currently, I rely on community support to answer my queries, and it is still early for me to provide further comments on improvement.

I have been using Tableau for less than a year.

There were challenges in getting accustomed to the functionality of Tableau, especially since I am used to Microsoft products. Certain criteria needed a lot of experimentation, particularly in data prepping. Sometimes the data doesn't appear as expected, leading to extensive investigative work.

I have not faced any issues with the stability of Tableau.

I am still working towards understanding the scalability of Tableau. Currently, I have not encountered any limitations, but I am still exploring and replacing current tools. It is too early to comment on scalability issues.

We previously used Microsoft Power BI. Power BI seems more powerful for data massaging and processing compared to Tableau. However, Tableau is superior in terms of visualization.

The initial setup was a bit challenging, particularly because I was used to Microsoft products. It took some time to get certain criteria right, but it has become easier over time.

The setup was conducted through my IT team, who provided me with the license.

We have not derived any significant benefits yet as we are still in the exploration stage, except for one time-saving achievement.

If you have many presentations, I recommend Tableau. However, if your focus is on heavy data processing or data prepping, Tableau may not be the best choice. I would rate Tableau a 7 out of 10.

On-premises

I use it for sales tracking, incident management, and monitoring proactive tickets from different tools and systems. These are my three major use cases.

The biggest benefit is significant time savings in creating reports and dashboards. We now spend less time creating dashboards and reports. It's also very user-friendly and easy to work with.

The dashboards are amazing, with different report types and stunning visuals. Most importantly, Tableau's AI with machine learning automatically predicts features and reports based on historical data. These are the three most valuable features for me.

Firstly, the high cost of Tableau licenses makes it inaccessible for many mid-scale clients. Secondly, the server requires at least 128GB of RAM, which can be impractical for some systems. We need a dedicated system to use Tableau. 

These are the two major challenges I see, especially for smaller organizations. Perhaps introducing lighter options or scaling solutions could be helpful.

Tableau offers some of the best features in the market. Enhancements are always ongoing, and it's already one of the strongest BI tools available.

I've been working with Tableau for over five years.

Everything seems fine. They provide good materials and articles for updates, so it's not cumbersome. It's quite good, actually.

It definitely scales well. It's one of the best in the market for that. We have over 300 users in my organization using it.

I use various BI solutions. Primarily, I work with Power BI. We use two services: the server to upload reports and the Power BI Service. 

We also use Tableau for one client for reporting, dashboards, and reservations. Additionally, I use SAP Business Objects for reporting purposes.

One of Tableau's big objectives is reporting. It is superior compared to other tools. 

For on-premises Power BI, the biggest challenge is it's not fully integrated. We need separate applications and deployments on different machines. That's cumbersome. 

With the Tableau server, everyone can share reports on one server, which is much more efficient. Reporting with Tableau is amazing compared to Power BI Desktop. 

As for cons, the application size is quite high, and 128 GB of RAM is needed for the Tableau Server so if we need a lighter version of Tableau.

The initial setup was not cumbersome, it was straightforward for me. It is like a default application in my system, I was not part of the infra team. 

As a user, I haven't encountered much maintenance myself. Infrastructure management manages it.

The value for money is definitely there. Tableau is a bit higher side as compared to Power BI services because Microsoft is offering really, very amazing prices. At the organization level, Microsoft provides PowerBI service as a package, and they are offering more than 30% to 60% of their end customer. 

But, Tableau is on the same side, cost-wise,  Tableau is a bit high.

I would like to recommend Tableau because of the dashboarding, reporting and the features they are providing to end customers. So it is very commendable.

Overall, I would rate the solution an eight out of ten. 

On-premises

My main use case for Tableau is to develop dashboards and automate the reporting process.

The best features of Tableau that I admire the most are that it's user-friendly, intuitive, and the visual aspect is impressive.

I have used interactive dashboards for real-time data collaboration, and they are beneficial because they give insight in a way that's visually appealing to the user. The tendency to retain the information is larger than a standard report.

I had a thought about how Tableau can be improved regarding the visuals and borders. I had a frustrating time with the borders a few weeks ago. When trying to make them all the same and shade the border, you have to shade all four sides. You cannot create a line per side. It's one of those small nuances where it's all general, and you cannot make specific changes.

I have approximately eight years of experience working with Tableau.

I'm a user and did not use an integrator, reseller, or consultant for my deployment, as the people from data architectures are the ones that deploy it. Once everything is set up, I just use it, and I don't have experience setting it up.

The stability of Tableau is pretty good, as I have not encountered anything problematic. What I appreciate about Tableau is that they have updates periodically, and some of those updates are actually quite useful.

Regarding the scalability of Tableau, I think it can scale effectively. It's capable of handling large amounts of data. I haven't encountered any scalability issues, as I haven't worked with data volumes that caused trouble running.

I'm not in a position to fully rate the technical support from Tableau, as I've had limited interaction with them. However, based on my experience, I would rate them a nine. They do respond and are pretty responsive to their clients.

Positive

I have substantial experience with solutions in the analytics industry. I was searching for tools because my company was looking for information to compare different options, which led me to the Peer platform. I have experience with Tableau and Power BI, but I don't have Domo experience.

The initial setup of Tableau is relatively easy for me, as I've been using Tableau for a while now.

I have experience with the main differences between Tableau and Power BI, and understand the pros and cons between these tools. Generally, the visuals are nicer in Tableau, but there's a wider array of functionalities to choose from in Power BI. That's the main difference, including the formulas.

They're still exploring the primary cloud provider for Tableau, so I'm not sure yet which direction the company plans to take.

I'm not sure if I purchased this solution directly through the AWS marketplace.

I don't normally use Tableau for the analytics capabilities such as ad hoc analysis, as I usually just use Excel for that.

Regarding the price of Tableau that I used to think was expensive, they've changed their pricing model recently. There's no minimum number of viewers that you have to purchase. A company can purchase just a few creator licenses and mostly viewers, so pricing-wise it's competitive. It can compete with solutions Power BI.

On a scale of 1-10, I rate Tableau an 8.

Other

We use the tool's dashboard for reporting purposes. 

Tableau's most valuable features are its ability to summarize data, provide dynamic controls for navigating different charts, and showcase historical data trends. I appreciate the option to colour-code different charts for improved customer experience.

Tableau has influenced our decision-making process. With its ability to create conditional views and filter data easily, we can quickly analyze information and make informed decisions. It saves us time by providing a concise business performance summary, allowing us to focus rather than sorting through extensive Excel files.

Tableau could be improved by introducing a data manipulation layer within the tool itself. Currently, data manipulations require using additional tools like Alteryx. If Tableau included these capabilities, it would reduce the need for external dependencies. The tool gets slower when we feed huge amounts of data.

I have been working with the product for four months. 

I rate the solution's stability a nine out of ten since it gets slower whenever huge data is added. 

The tool's scalability is easy. I rate it a ten out of ten. My company has thousands of users for Tableau. 

We've got a dedicated support. It's easy to reach out to them, and they respond promptly. 

Positive

I rate the tool's deployment a six out of ten. It depends on the individual's technical background. Someone with a technical background could learn it in about a week or ten days. However, for someone from a non-technical background, it might take them longer, maybe a month, to grasp the more complex aspects of the tool.

Tableau has provided a return on investment for our company. It has helped us manage critical information such as outstanding payments and trade details. With Tableau, we have gained visibility into outstanding rates and payment dues, enabling us to follow up on penalties or payments from clients.

The solution's licensing is based on user-basis. It depends on the business ROI it offers. It's not on the higher side or too cheap; it falls in the medium-cost range. The price is determined by user usage, so the cost will also increase as the number of users increases.

For data analysis, we primarily use Tableau for basic tasks like creating pie charts or calculating averages. However, it lacks extensive or complex data analysis capabilities.

Tableau's data planning capabilities are somewhat limited. To compensate, we rely on other tools like Alteryx for data manipulation. Once we've prepared the data, we create hyperfiles and use Tableau for dashboarding.

I would recommend Tableau for advanced visualization tools. Still, I must mention that other powerful options are available in the market, such as Power BI. Power BI, which offers extensive data manipulation and dashboarding capabilities, while Tableau is old. Additionally, Power BI has newer versions, enhanced capabilities, and better integrations.

Right now, there are no talks on replacing it. So, my company will continue to rely on Tableau because it has many users. If we have to move to another tool, there must be a migration plan and many logistical changes, which could be a challenge.

I rate the overall product an eight out of ten. I advise those considering using Tableau to analyze their needs beforehand. Tableau can be a valuable data analysis and visualization tool, but it's important to understand what you want to achieve with it.

We use the solution for operational reporting, dashboards, metrics, and ad-hoc analysis.

The best thing about Tableau is that you don't need a database connection and can generate a dashboard from a spreadsheet. It's very open. It moved the responsibility to the end user rather than in a closed control loop. There are a lot of widgets. Tableau looks for the data and suggests cool widgets. The community is growing, and there is always someone who has tried something before.

If you go to Tableau Cloud, you will see tons of visualizations and things that have already been done. You don't need to struggle a lot. If you post a question, someone will always answer you. The product is also getting better. Tableau's performance is really good, and it is adding new features.

When Salesforce bought the solution, they claimed that Einstein would be part of Tableau, but that indication is not working. Tableau's integration with Einstein Analytics could be better. It's not even up to par with other products. The ad hoc, self-service, and data analysis features are not working.

I have been using Tableau for 11 years.

We haven’t faced any issues with the solution’s stability.

Tableau's scalability is much better than the other previous clunky tools like MicroStrategy and Cognos. Around 300 to 350 users use the solution in our organization.

The solution's initial setup is straightforward, and its details are available on the internet. The solution's cloud service can be deployed within a day. However, the on-prem deployment depends on many other factors and might take a couple of days.

We have seen a return on investment with Tableau.

Tableau is an expensive solution.

The solution is deployed on the cloud in our organization. If Tableau is on-premises, you have to monitor the server, recycle it, and restart it. However, if it is in the cloud, the admin role is completely reduced. We don't have a Tableau admin. The solution solves my problem, it is working as expected, and I have no complaints from my end.

There will always be complexities. We have to create a good data model so Tableau can use it. It's up to the team to make it complex or easy. Very good.

Overall, I rate the solution a nine out of ten.

I handle the development and administration of dashboards. I primarily use it for HR and finance. Assurant Financials specifically.

I find it to be the best BI tool for visualization. 

We use most of the features from the analytics menu, like getting trends and forecasts. 

We also love creating stories by combining sheets together, which is a really nice feature. 

We frequently utilize visualizations using maps and different objects, all with rich coloring options. And tooltips are absolutely essential for us. 

Tooltips, like the pop-up descriptions when you hover over some object or graph.

Those tooltips in Tableau are great features. Tableau even lets you call another dashboard from within the tooltip itself, which is truly amazing.

I've been following Tableau, and they're definitely making great progress. For instance, they added some generative AI features which I haven't used yet.

More integration with Python or something related to machine learning would be a good improvement.

I have been using it for eight months now. 

It's been very stable for us. I would rate the stability an eight out of ten. 

Based on my understanding, it's a highly scalable solution. However, I haven't personally tested it with Tableau, which is used for integration. But for the features I've used, I'd rate the scalability an eight out of ten. 

There are only around 30 key users. But they're very satisfied with it, even though we're still in the initial stages and changing our data culture.

So, we plan to expand the usage further. 

The customer service and support are very responsive and supportive. 

Positive

I briefly explored Oracle Analytics, specifically a development tool called Oracle APEX. It includes some visualization features, but they're not as advanced as Tableau's.

In terms of visualization, Tableau is the best.

The initial setup was very easy, especially on the cloud. So, I would rate my experience with the initial setup a nine out of ten, with ten being very easy. 

The deployment is very quick. Installation takes just a few minutes, definitely less than an hour.

We're still in the early stages of our project, so we're using the cloud. But I've also used Tableau Desktop, which is the client software installed on a PC. That was smooth as well.

It's too early to calculate ROI definitively, but we're seeing progress.

Pricing might be slightly more expensive than some competitors, but for our organization, the cost hasn't been an issue.

I highly recommend exploring Tableau's cloud-based demos and templates. You can learn a lot without purchasing the software. Also, tap into the Tableau community to gain knowledge and expertise. By doing this, your initial setup and learning curve will be much faster.

Overall, I would rate the solution a ten out of ten. I really like it.

I mainly use Tableau for sales and inventory purposes. Additionally, I have dashboards that show performance, and I utilize it for making reports on the database in one of the companies I work with.

The ease of connecting Tableau to data sources and manipulating the data is quite good and straightforward. Additionally, the ability to present data is very effective, providing great impact and good online information.

Tableau could be more intuitive. It has all the features, but it is difficult to find them. When I want to use or present something in a certain way, it's hard to locate the necessary features. However, with some help, I can eventually find them.

I have been using Tableau for about five or six years.

Tableau is pretty stable.

I wouldn't say Tableau is one hundred percent scalable, but it is quite scalable.

I have not used Salesforce customer support.

I have used Qlik Sense as another client works with it, so I have had reporting using their tools as well. However, I don't know enough of Qlik Sense to make a comparison.

The installation of Tableau is pretty straightforward.

I usually do the installation myself and do not require others.

Tableau is able to save up to ten to twenty percent of expenses.

Tableau is on the high end and could have been more affordable. I would rate the price as around five out of ten.

I have used Qlik Sense but cannot comment on the differences with Tableau.

I rate my overall experience with Tableau as a seven out of ten.

My team is working with Tableau to give presentations, create dashboards, and fetch reports from the system.

Tableau is a fantastic tool that provides impressive dashboards and customized reports.

The solution’s pricing could be improved.

My team has been using Tableau for the last eight to nine months.

Earlier, we were using only Power BI, which had certain limitations. We could not go beyond the maximum output we had expected. We observed multiple facilities or benefits after buying Tableau. The dashboards are getting more presentable, and we are getting customized reports. Things are in place after getting Tableau into our systems. We are getting appropriate dashboards and reporting with the solution.

Tools like Tableau are not cloud-native services of the cloud and the cloud environment. So, it is very difficult to secure things, move to the cloud, and deploy things onto the cloud. Setting up Tableau on the cloud requires a different skill set because the cloud is a different environment altogether, and data center technologies are something else. Although it's more or less the same, people are unfamiliar with the cloud these days.

Once the environment was set up, it hardly took a week to configure everything in the cloud environment. The team concerned worked with system integrators, who successfully set up everything. We are working seamlessly, and there are no problems as of now.

Tableau is an expensive solution compared to Power BI. We have paid the upfront cost for Tableau, which is 40% more expensive than Power BI.

We realized the benefits of Tableau within a month or so. We got the appropriate skill set to work on the solution directly and got fantastic outputs after deploying it in our systems.

We are working with the government directly. The government has observed that the tool is fantastic. The tool has multiple features, and they are getting the desired output. We are still exploring how many other features and functionalities of Tableau we can use.

We are still trying to integrate Tableau with other platforms to exploit the maximum potential of the portals, services, or software. We are still exploring those opportunities. We have integrated the solution with different schemes and applications, and it works seamlessly.

We are still discovering how many other platforms can be integrated with Tableau. As of now, we haven't faced any issues. We may face some challenges because we are currently trying to integrate it with the SAP environment.

I strongly recommend Tableau to other users because it is a fantastic tool that provides impressive dashboards and customized reports.

Overall, I rate the solution ten out of ten.

We are majorly using it for our procurement business area. We have created almost 50 to 60 dashboards for the entire procurement cycle. We have used it for procure-to-pay, and we have also used it for our retail business. We have a lot of petrol bunks, and we get a lot of data from them regarding sales and other things. So, procure-to-pay and retail business are the main use cases.

We've been using its latest update. It is on-premise. All our solutions are on-prem because we are in the Oil and Gas sector, and data is very critical for us. We have not yet migrated anything to the cloud.

It is very easy to build charts and drag and drop the fields that are there. It automatically identifies the dimensions and measures and makes our life easier when we need to build any dashboard. It is pretty user-friendly.

Its visualizations are good, and its features make the development process a little less time-consuming. It has an in-memory extract feature that allows us to extract data and keep it on the server, and then our users can use it quickly.

When it comes to visualizations, Tableau has a limitation as compared to Power BI. It has a limited set of visualizations. Power BI has the entire marketplace, so you can connect and import many visualizations and use them, whereas Tableau has only 10 or 15 visualizations. There should be more visualizations, and there should also be data integration with more cloud providers.

Tableau has recently launched a paid version for the documentation. So, documentation has become a little bit challenging when it comes to Tableau development because we do not have any tool to export the data out of it. It is a license-based feature that you need to purchase to prepare documentation. So, on the documentation front, for preparing clear documentation for any dashboard, it would help if we get an embedded option, rather than buying a license for each user for the documentation. To document anything, if I have to connect to each workbook and see what has been written as a formula and then document in the Word document, it is pretty time-consuming.

We have the Microsoft stack, and we are currently evaluating Power BI because Tableau has a limitation of 50 columns for a drill-down report. If we want more than 50 columns, we have found a hack, but there is no ready-made option for doing it. So, we have to use another tool in case we need a drilled report with more than 50 columns. There are many instances where users need 80 or 90 columns for their analysis, and switching between two technologies becomes a challenge. It is not a cost-effective approach for us.

Their support should be improved. We are not happy with their support. Whenever we raised queries, we were pointed to a few blogs, and we didn't get a proper solution from them.

Their licensing should also be improved. They want us to purchase a Tableau Creator license for business users, whereas Power BI Desktop is free for business users. They should come up with a basic license with one or two connectors that our business users can use for preparing their visualizations. Tableau also charges us per user for users who want the data only through email.

Tableau has been in our organization for more than four years.

Its performance and stability are good. Because we are not on the cloud, and it is on our internal servers, it is performing well.

I have a team of three people who are Tableau developers, and they have been working with me. We have one Tableau senior developer who does the server administration, as well as major Tableau development. Two members are supporting him on small dashboard developments.

When we were given the first project, we had hired a consulting company called PWC. They had implemented Tableau for us for procure-to-pay. They had deployed one project manager, one Tableau developer, and one MSBI because the data is on SQL. After that, for our support, we hired one senior Tableau resource, and then we internally trained two people. They have been using Tableau and supporting us.

We were not happy with their support. We did not get many solutions. Whenever we raised queries, we were diverted to a few blogs here and there. 

Even for the production issue, they didn't give proper support to us. There was a lack of clarity about how to resolve the issue. They work in shifts. So, one person hands over the ticket to another person, and we again have to explain. We had also approached our sales representatives, but unfortunately, because of Tableau being acquired by Salesforce, the team had changed. We had lost all points of contact because of which it was a little chaotic to get support when we needed it the most. 

Now, the first step we take is to go and search on Google about the issue and also on Tableau blogs and forums. That's because whenever we first approach Tableau support, we anyways get pointed to those blogs. So, we first try to search on our own. If we are still struggling, only then we approach Tableau support.

The initial setup of Tableau was not much complicated for us because we had hired a partner for its implementation.

It was implemented almost four years ago, and it probably took 10 to 15 days because it also involved getting the server, configuring it, and then doing proper configuration of the rights, etc. It is on-prem. So, we had to take care of a lot of security factors, such as opening the ports, etc. The vendor had to develop and establish proper architecture based on our security policies, and that is the reason it took more time. For simpler infrastructure, the deployment would take less time.

In terms of maintenance, Tableau does require maintenance from our end. We need to ensure that the servers are basically up and running. Sometimes, the upgrades come, and they have to be done properly. We had one instance where we rebooted without stopping the Tableau services and our entire server got corrupted. Luckily, with support from Tableau, we found the solution, and we could get back our project. So, it requires monitoring and server administration in terms of closing the services, giving the user access, and ensuring that the database size is proper because they use PostgreSQL as a backend for Tableau. These things are required to be maintained and overseen, and the licenses also need to be monitored. So, it requires a lot of administration activity and server maintenance because we are not on the cloud.

A partner had implemented it for us. We didn't find its installation much of a hassle.

Tableau is a little cheaper as compared to Power BI and other technologies that we have used in the past. However, if the business users in our organization want to make presentations, Tableau has been asking us to purchase a Tableau Creator license, and $35 per month is expensive for business users.

Power BI is giving a free desktop version for business users to connect to any data source and build their own dashboards. That's why we have proposed to use Power BI for most of the business users in our organization. We wanted them to be able to create charts and presentations for the management, and we didn't want to spend $35 per month on a Tableau Creator license. We tried to give them a Tableau Explorer license. We had purchased 15 licenses, but the Tableau Explorer license had a limitation where it did not allow business users to connect to their own data source. So, they had to come to IT to connect to the data source, which didn't work well for us. That's why we told them to use Power BI Desktop. This is where Power BI wins over Tableau. 

In 2011, we had purchased perpetual licenses for Tableau, and at that time, they were selling its perpetual license at $1,500. We had purchased these licenses for our business users, and they were making a lot of visualizations for presentations, but about a year or two ago, Tableau stopped issuing that license. Tableau can come up with a basic license for connecting with Excel because most of the business users only connect to Excel for preparing their visualization. They can provide one or two connectors at a cheaper rate than the Creator license. It would help them in promoting it to more business users and increase users across the organization.

Most of our users are on the field, and because we are not on the cloud, one of the challenges with Tableau was about giving access to them. They didn't want to log in to Tableau Mobile, and they wanted the data in email. We have around 400 territory sales managers who want to see the data in email. When we have to publish that, Tableau charges us per user, even if they're not going to the dashboard to view it. For sending an email, they charge you per user. So, if I have to send an email to 400 users who don't even use dashboards, it becomes expensive. That's why we moved to MSBI, which is free for us. We have bought a perpetual core-based license, and we can send an email to unlimited users. We no longer use Tableau in this use case.

We are currently using two tools, and we are considering moving to Power BI. We are evaluating whether we want to move to the cloud or not. If we are moving to the cloud, we may completely move to Power BI in the future. If we move to the cloud, we mostly would move to Azure, and integrating Azure and Tableau doesn't make sense. We are also considering the pricing point.

First, I would advise evaluating the data stack or database that you have, and based on that, you should make the decision of going ahead with Tableau or another technology. If you are on Azure, going for Tableau doesn't make sense. If you are on AWS or Google cloud, they have their own visualizations. So, the integration becomes a little challenging. You also need to see whether connectors are readily available for your database stack. For example, Tableau has a connector for SAP HANA, but it doesn't have a connector for SAP ECC, which is the older version. My organization is still on ECC, so we had to buy another connector to pull the data into our SQL, which increased the total cost of ownership for the company. Therefore, you need to first understand your database architecture and the kind of data you have been using and then move to visualizations.

Second, while implementing Tableau, you should not keep developing dashboards after dashboards. That's because they would require maintenance as you grow. The maintenance cost increases as you grow. Therefore, you should first evaluate the scope and then go ahead and build dashboards. 

Third, there are many selling partners, and they loop you in with a minimum purchase, such as 5 Creator licenses, 15 Explorer licenses, and 100 user licenses for two to three years, which is binding. You should evaluate licensing options properly because when you are starting a journey, you don't want to spend so much at an initial stage. One Creator license, one or two Explorer licenses, and 20 to 30 user licenses are generally fine. You should negotiate on the number. Otherwise, your licenses are underutilized. This is where we could have saved money while purchasing Tableau. We are now juggling between two technologies for drill-down reports.

Fourth, if you want to send an email to your team on the field, you need to understand and ask about how many users would subscribe to emails. If most of the users are going to just subscribe to emails and not use Tableau as a dashboarding tool, it is a waste of money. In most organizations, senior management doesn't like to go to the mobile app. They want to get information through email, and if you are buying a license just to send an email, it is a waste of money for the organization. 

I would rate it an eight out of ten. Two-point reduction is mainly because of the support quality, visualization limit, and lack of documentation capability.

On-premises