Tableau Reviews

We primarily use the solution for HR and energy dashboards. We have made and a few other dashboards for opportunities and accounts. 

Tableau has really good and interactive visualization and interactivity. 

The action feature which Tableau has is very useful for us. If we click on one visualization, it will pass the value to another visualization. That interactivity within different visualizations is the most valuable feature of Tableau.

Tableau would be really good if we could have predefined templates. I was doing a POC another newer tool, Einstein Analytics. They have predefined templates already set up. These predefined templates do the heavy lifting for the initial dashboards. We don't have to build them from scratch. Our dashboards look really good and 20 to 30% of the look and feel of the dashboard completes with the predefined templates. If Tableau works on the predefined templates, that would be so helpful to a lot of companies. It would save time for the developers.

The pricing is a bit higher than the competition. They'll need to lower it to stay competitive.

They need to move more into machine learning AI. Right now, in a POC that I'm doing with Einstein Analytics, they are more into machine learning and AI. Tableau is lagging as of now. If they want to have a long run in the market, they need to integrate machine learning and AI. It has to be very robust.

I've been using the solution for two years now.

I can say that this solution is quite scalable. I'd rate it eight out of ten. It integrates with many solutions. I haven't used our code in everything, however, I have used it for our HR integration and I find the code is quite scalable. 

In the last project I managed, there were 110 regular users of the solution with about 20 suer-users that were able to edit reports and dashboards and tasks of that nature.

I'd give technical support a nine out of ten. There were time zone differences. However, I got a timely reply and call from them, so it was very good. The support is very good. It's both responsive and helpful. I'm quite satisfied with them.

I've used BusinessObjects and MicroStrategy as well. I used to use Power BI for a few months.

The main competitor to this product is Power BI, which I also use. This license is a bit costly compared to Power BI. Not more, but a bit costly from what I've seen.

There's not much of a difference between Power BI and Tableau. They have the same kind of interface and the features. The main difference between the BusinessObjects and the others is that its an enterprise tool. The licensing cost of the BusinessObjects is very, very expensive. The visualizations and objects etc., all have separate licensing for dashboarding. On top of that, the chart's not that interactive. If you click on one chart, it will automatically change the data of the several other charts related to that. That is not very interactive compared to Tableau or Power BI.

The initial setup was not exactly straightforward. It was complex, or, to be fair, had a medium amount of complexity to it. The use cases were complex also and few of them had medium complexity to begin with.

Deployment was basically in the development environment and then we deployed it in the UAT for the users. They had a look at our reports in UAT first and then we deployed it into production. I was also working as a Tableau administrator also and then I learned Tableau administration in order to handle that aspect. I handled Tableau administration with the user and deployed the reports, etc.

The company has different verticals basically. I worked on HR and energy verticals. They also had finance and accounts. I have to maintain that administration part for all of them; not just my dashboards. From a deployment perspective, it was tough for me to maintain all the users and all the rules for the accounts department and for finance, and to be in the group for them, and to assign permissions for them. I did have issues in the servers in terms of gateways. I resolved them myself in the end with the help of Tableau support. 

I handled the implementation myself. I didn't need the assistance of a reseller or consultant.

The company chose to purchase a creator license for me, which was $70. With that license, you can also be an administrator. We also have 20-25 extra licenses and they cost around $20-$35 each. Those are for normal users who will be viewing the dashboards. Those are monthly charges.

There aren't any other costs over and above that.

Apart from that we had database licensing. So because we used Snowflake as a cloud database.

Our company has a partnership with Tableau.

I've used both on-premises and cloud, depending on the requirements.

This particular solution is quite an easy to use product. It's very robust. Even a layman who has previously was not worked with any other BI tools would love to work on this. They will find many things easier to implement. There are a few other tools that are in the market. However, from an implementation point of view, it's very robust. 

I'd rate the solution nine out of ten overall.

We use Tableau and Tableau Server for data visualization. We have a Global Tableau Server used by five thousand users on a monthly basis, with fifty thousand email notifications and more than five hundred workbooks for sales, marketing, revenue management, and operations analytics.

The solution has improved the organization by allowing quick access to data visualization and data exploration. Also, it helped to have a global server used as a repository to see all of the reports in the same place.

The features that stand out in this solution are:

• Scheduled extract and the multiple connectors are fantastic.
• Tableau Prep is fantastic.
• Tableau mobile on the tablet is also great for operations and the field users.
• "Ask Data" is good.

The performance could be better. At times, it can take up to one minute or more to open a workbook, which is very frustrating for the users.

Stability is okay, although performance is slow on our side.

Our solution handles five thousand users per month.

Premium customer service and technical support are fantastic. Best in class!

We previously used Cognos and Power BI. We switched because with Tableau, you do not need IT support. Users can create their dashboard really quickly.

The initial setup was a bit complex, more so than expected. I would use a fully managed solution if I had the choice again.

Our in-house IT department implemented this solution.

The initial cost that is set according to CPU cores is expensive. You need to go with at least thirty-two CPU cores for five thousand or more users.

Before choosing this solution we evaluated Qlik, Domo, and Power BI.

The solution is very good. Loved it and the employees also love how quickly they can create a workbook and share it. Overall, a great solution and a great team.

My primary use case of Tableau was in conjunction with Salesforce to enhance my data visualization and analysis capabilities. 

Tableau empowers users to delve into their data deeply, effortlessly unlocking valuable insights and critical information. It's got a user-friendly interface and extensive visualization capabilities that allow me to create compelling reports and dashboards that help me make better decisions. 

Tableau has greatly enhanced our organization's data-driven decision-making processes by enabling us to create visually compelling reports and dashboards.

This capability has led to better communication between teams. Despite some limitations associated with custom data connectors, Tableau has proven to be an invaluable tool for aggregating data from multiple sources, offering us a complete view of our operations. 

This comprehensive perspective has allowed us to identify trends, make informed decisions, and optimize our strategies, ultimately leading to increased efficiency and competitiveness in our industry.

The most valuable features of Tableau for our organization have been the interactive storytelling capabilities and easy integration with Salesforce. We can create visual descriptions of data, making complex information accessible and interesting to all sides. This feature enables us to effectively communicate data-driven insights. 

In addition, our integration with Salesforce provides access to critical sales data in real-time, which facilitates quick decision-making and improves customer relationship management. Together, these features enable us to get the most out of our information assets, which helps us to develop informed actions and strategies.

Tableau is excellent at visualizing data, however, I think improving the data preparation features would be a great addition. Navigating through activities like cleansing, reshaping, and wrangling extensive or complicated datasets could prove challenging within the Tableau environment. 

Also, the settings for working with complex datasets also need to be changed. In the next version, it would be good to add user-friendly resources for beginners, such as interactive tutorials and templates, to make Tableau even more accessible to a wider audience.

I've used the solution for more than three months.

I used a range of solutions to find the best one. I haven't switched; I'm using them at the same time.

I evaluated QlikView.

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.

Our primary use case of Tableau is to elaborate and demonstrate output from our big data solution. For example, we use it for finding out the best location for cases, such as fraud cases. Presently, we are using Tableau to find out the original fraud case, the initiator of the fraud process, and the network. Tableau is used with our big data solution, so it's embedded there, before Oracle even. 

Tableau is deployed on-premise. In my organization, we have a very strict environment, so we don't have a policy for having anything on cloud. 

A valuable feature of Tableau is that it is a useful tool for small setups. I shuffle between Tableau and MicroStrategy, so I use Tableau for personal purposes more than enterprise. I like the light version of Tableau for personal usage and doing some use cases on my own. When it comes to something small, I use Tableau for setups, rather than any other tool. 

I think Tableau could be improved with cheaper or more flexible licensing, though this is a generic improvement and applies for any product. It would be better if they had more flexible payment and licensing plans so that they could suit small- and mid-sized organizations. 

I have been using Tableau since 2016. 

I haven't had any issues with stability. 

Theoretically, Tableau is scalable, but I haven't tried to scale it yet. 

I have never contacted technical support. 

I shuffle between available tools—I also use MicroStrategy, Microsoft Power BI, and Qlik. 

Before using Tableau, I used Oracle BI, Oracle ODI, and Teradata. 

The installation was an easy process, and I've done it myself twice. I'm a technical guy, so I didn't need a technical team to help with deployment, I did it on my own. 

I implemented this solution myself. 

We pay for the enterprise license for Tableau. The licensing could be cheaper and more flexible. 

I rate Tableau an eight out of ten. I recommend Tableau, and I even recommend it here in my organization. Their plan was to replace it with Qlik, but I did an assessment and advised them not to pay extra costs for other tools when Tableau was already in place in our organization. 

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.

Tableau has improved my organization in a variety of ways, one of its uses being that of data analysis. It provides a server platform for sharing information. We use it for internal collaboration, as well as other tools for data catalog, for creating the dashboards, for preparing the data in preparation of creating the dashboards, called an ETL extract, and as a tool to transform and load. Tableau is a platform that has several products, perhaps four or five, that average for the fifteen of big data, data evaluation and data collaboration. No specific aspect can be used for this and it can be employed in marketing and finance. It serves the needs of data analysis and providing an algorithm for machine learning. For instance, you can have a logistic regression to analyze whether a specific customer is a good bet or not, such as a bank that is contemplating the loan of money. It allows you to visualize and analyze your data no matter what it may be, though it can be used for an alternate solution.

A feature I have found most valuable is the ease of use and straightforwardness, in addition to the flexibility of Tableau. I like the fact that Tableau can connect to a wide variety of databases, be on cloud or on-premise. Tableau can connect to over 100 database types, including structured and non-structured databases. Tableau can connect to a PDF and extract all the tables you have in that PDF. Suppose you have a one hundred-page PDF containing sixteen tables of data. Tableau can connect to that PDF and extract its data. Tableau can connect to Google Drive, to a host of marketing portals on the internet, to cloud companies such as AWS or Alibaba and to many different types of databases. That's one huge advantage of the tool.

While it can be complex if you need to alter a lot of parameters, it provides simple installation. It is very easy. All you would need to do if you have only one Tableau running server is to employ the maximum connection and install a license column in Adobe Reader. 

An area needing improvement involves the complexity of the product should you need to alter a lot of parameters. 

Definitely speaking, it's straightforward and it's very easy. Implementation problems can be dealt with by the client, in place of the user consultant. Let me give you some examples of things that could take long in a Tableau implementation. Suppose you have five different business areas in your company: marketing, supply chain, finance, HR and procurement. Let us suppose that access to HR salaries is not company-wide but is limited to only a select number of people in HR, such as the manager or the director of the department. Yet, I want people in the supply chain to be able to see and access different data from different areas. While this would not be technically difficult it would be time consuming if the businesses are very particular. There may be many policies involved in access authorization, in data availability and the like.

This can involve a very strict security process using an outside identity provider. Instead of just logging in your username and password, you may have different technologies which are more safe and secure that need different providers to interface in Tableau. Depending on the need, this will be time consuming. For instance, while I don't know how this would be in your country, suppose you have an identity provider, in Brazil, marketing in Tableau. If you go to Asia, you may sometimes have a bio-metric identity that your hand or fingers employ which is going to get back at you. In that circumstance, they are going to send you a number or a code in your cellphone, requiring two steps, one to enter the bank and the other to withdraw your money. So, these things we call an outside identity provider, meaning a different vendor or different companies who manage the servers of managing identities. These would entail an integration with Tableau and these outside companies for security purposes. This would involve them sending me files and me sending them back in order to authenticate the user into the Tableau server.

This can be time-consuming because they involve or require a different partner. Tableau is made for basic needs, such as requiring a user and a password to log in to the server; an unsophisticated architecture; or use of a single instead of a cluster of servers. If you have non-specific data security needs or you just want to analyze and sell data, that can take less than a day. But if you have technical servers, many interfaces, different providers and more serious processes, that will be time consuming. 

While Tableau does integrate with Arc server and Python server, the integration process is slow and the information is integrated in a protracted fashion. Sometimes your data will vary. You may have a vector of data. You may have a matrix of data. For some algorithms we do not use regular data, but a different data structure. Tableau does not work with these different data structures. As such, interfacing with Arc server and Python server, which are still languages that are widely used in machine learning, all happen slowly. It does not happen by a matrix of data and data vector. 

I have been using this solution for five years. 

In the past I worked with Oracle E-Business Suite while working with ERP markets over a thirteen or fifteen year period. Yet for the past five years I've been focusing mainly on artificial intelligence, machine learning, big data and the use of other software, such as  Tableau and Azure for the purpose of developing and building data to create algorithms and visual dashboards to show the data. It's been around five years since I have turned my focus solely to big data and machine learning. 

Definitely speaking, the initial setup was straightforward and very easy. 

Another option I evaluated is Power BI from Microsoft. It's cheaper than other solutions and requires fewer different packages. The major competitor of Tableau is Power BI from Microsoft and Microsoft's much cheaper than Tableau. But Microsoft usually requires me to be on Microsoft cloud Azure. You have to buy other solutions for an integrated solution. At the end your cost will be much higher. So Tableau is more flexible. 

In Tableau, I can have a scatter plot with millions of marks. Suppose I have a graph that plots my value against my process and each dot in the graph is a sale that I've made. So I have 30 million dots in this graph reflecting my 30 million sales. Tableau can run this easily and fast. Power BI cannot. Power BI has a limitation of 13,500 marks, meaning Tableau has more capacity in delivering data than its competitors.