Tableau Enterprise Reviews

There are many use cases and many projects. I have done level cost-based analysis and forecasting. I have also created one dashboard for their risk measurement.

The most valuable feature is the analytics part. You can use simple reporting by using the analytics by businesses and stakeholders, giving insight into that particular information. It also has data cleaning. It saved a lot of time for the application.

Every time, they create a new version of Tableau. We need to update that version and create a new EXE file. Any visualization tool should have one particular application that only needs to be updated rather than creating version one, like 2024.1.2. You can see many versions in Tableau. We are using this number of versions only because of the latest update. Having the latest update in the same application rather than creating multiple versions would be good.

Some features are not enabled in Tableau. We can use the measure or Python to use that. Every company or every person has its own requirement in Tableau. Suppose I am using an in-date format. I'm extracting data from my data source in some other format. At the same time, businesses want to view this information in different formats. I have to customize the data format. If possible, you and your team can work on the date format in the world. There are multiple data formats or data get views available in the report. You can also accommodate in the gate feature.

I have been using Tableau for almost five to six years.

Tableau is scalable software. Almost 500 people within my department are using this solution.

During COVID-19, I had a few issues. Our support team didn't support it. We requested to the Tableau team, and that person helped us. Sometimes, they have a good way. They have excellent knowledge, but sometimes, when you provide your source to a third party, they don't support us technically. 

The initial setup of desktop application is straightforward. We can also creat,e athe  project and tha e end user can also create their own project, and later on, if needed, the support team can help us with that.

It takes ten working days minimum to complete creating dashboard and setup server. We are using dev and production environment. Some are also using a testing environment based on their requirement and discussion with the business.

Multiple team is responsible for their activities. At least five to six people are required  for deployment because someone is creating a dashboard and some person has their knowledge at server level. Also, some person needs to have their permission management.

I was not able to connect Tableau with SharePoint online. Microsoft Power BI can be connected with SharePoint easily online. It has many more facilities than the Tableau application.

The daily reporting or data analysis has seen many improvements with Tableau. We can manage the users accordingly while doing the drag-and-drop interface for that application. I can do Python and use Python Tableau language, which creates a lot of differences.

I have never faced any issues with data integration. Before COVID era, I was using SAP HANA. I could use it very frequently and use the data set accordingly.

I have never faced any such issues. It is a very good application. There are many more application which are also very good and very user friendly, but Tableau is also one of them. We have a direct live collection. Even business users share experience while connecting the live. They feel some hindrance while using this application when they refer us or when they filter the data. You can see the delay response in the page.

Tableau is a good application. I created any dashboard for the business, and business want to view their information. They like that application, and they are able to on this side, what purpose they wanted to develop this dashboard.

I recommend Tableau. There are many BI application. Tableau is one of them, as I I use it.

If the user want to view information, it would be go with their line. It is simple to understand, and take decision based on their information. It would be very good to have on comparison heat map or the pie chart.

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

We use the solution for the client's management of KPIs; it involves monitoring various aspects. If they are a manufacturing company, key performance indicators revolve around production and other relevant factors.

The solution helps users create dashboards and analyze data without relying on IT or product teams. 

The tool's OpenAI integration was announced last year. However, it is late. Tableau is a good solution for end customers. However, there are some concerns regarding the stability and performance of its server architecture, including SaaS services. The server side appears unstable, and performance issues are noticeable, often accompanied by unclear error messages.

I have been working with the product for seven years. 

I rate Tableau's stability a nine out of ten. 

Our experience spans around 70 customers, covering manufacturing, pharmacy, trading, construction, universities, and the public sector. I rate the product's scalability a seven out of ten. 

The tech support takes too much time to respond.

Neutral

I rate the tool's setup a ten out of ten. While setting Tableau servers for customers, we often encounter challenges that vary based on their network configuration and operating systems, such as Windows or Linux.

In Korea, the tool's pricing depends on the scale of usage. For instance, it's reasonable for a department with fewer than 50 users to adopt Tableau, like sales. However, the pricing becomes an issue when considering an enterprise solution for a larger user base, say 10,000 people.

Tableau is integrating OpenAI's GPT feature. It will help to create automatic dashboards with natural language. Only ten percent of our customers use Tableau in the cloud since they prioritize their data. They don't want to import their data to the cloud. It is as per their policies and security advice. Traditional companies don't like exporting customer data outside the organizational network. 

Japanese data centers often support Korea. However, the challenge arises from the absence of a federal cloud data center in Korea. Consequently, utilizing Tableau Cloud may result in data being exported outside the country. This is not allowed legally for financial entities such as banks. 

However, the government does not regulate smaller companies like startups. Hence, they are more open to the cloud. This is not the case for public entities. They should install the software in the government's cloud. 

Our clients for Tableau are mainly enterprise businesses. I rate it a nine out of ten. 

On-premises

As an administrator, I use the solution in my company to deal with customers' current deployments and help with the troubleshooting process in case of issues while keeping a check on the performance, like the coverage provided by the solution.

Tableau is a good product for some of the projects my company has handled, and we have also used it as a visualization tool. Considering how certain products work for customers and how their businesses function, it is easy for my company to use Tableau in such environments as it is a user-friendly tool.

The most valuable features of the solution are the permission management and the user management.

With Tableau, the only downside stems from its prices, especially in the country where I reside, which is Sri Lanka. When my company reaches out to new customers with Tableau's new costs, we find ourselves at a disadvantage. The price is an area where improvements are required.

I think Tableau plans to release some AI-integrated features in 2024 for one of our company's clients we had initially. My company plans to use the AI-integrated version of the solution when it is released. AI is one of the best things that I was hoping to have on Tableau.

The only issue with the solution is with its prices at a regional level. Integration-wise, it is a good product. Tableau always provides support to users. Tableau should introduce some special pricing for its existing customers, and it should be possible for the partners and resellers to provide such special prices to customers.

I have been using Tableau as an administrator in my company for four years. My company, which is in Sri Lanka, has a partnership with Tableau.

It is a stable solution. If the people who are working on the tool know about the product, then it's a stable solution. New people who have an understanding of the product can use its stable nature. Stability-wise, I rate the solution a nine out of ten. There is a possibility that the product crashes at times.

The product offers scalability or scaling out options, but at the moment, there is no demand for the product from the customers, and nobody is getting it deployed. In general, though it is a scalable solution, no one prefers using the product presently. Recently, I have only done two deployments of the product for our company's customers. The people who use the product are not satisfied with it.

The product's clients are major banks and some other businesses operating in the financial sector, meaning all of the tool's customers run enterprise-sized companies.

The solution's technical support was good. I rate the technical support an eight to nine out of ten.

Positive

The product's initial setup phase was not very easy as it was a little bit of a technical process about which I didn't have any experience. I rate the product's initial setup phase a six to seven on a scale of one to ten, where one is a difficult setup process, and ten is an easy setup process.

Most of the solutions I have deployed have been done on an on-premises model. For some new customers, my company has deployed the product on the cloud. If customers are okay with their budgeting part, I suggest they deploy the tool on the cloud.

For new users, our company can set up an environment. If the customer can provide an on-premises environment, we can set up Tableau in four to five hours. A single-node deployment takes around four to five hours, but if it is a marginal level of deployment, it might take a day or a day and a half.

When involved in the deployment, if there is some support from the customer's IT team, then only one person is required to take care of the deployment process.

I rate the product price in the Indian region a seven to eight on a scale of one to ten, where one is a low price, and ten is a high price. For the other regions in the world, the price of the product might be average. The additional cost attached to the product crops up when users plan to use the product on an on-premises model.

I recommend the product to those who plan to use it. Tableau is a good visualization tool for everyone, and it is also easy to learn, especially when compared with its competitors.

I rate the overall tool an eight to nine out of ten.

On-premises

We use the product to build diverse dashboards for a revenue authority. It helps us analyze taxpayer behavior to understand payment patterns and identify areas for improvement in compliance.

The platform's most important feature is predictive analysis. We can map taxpayers' locations with data and connectivity to databases and sources. We can forecast future trends using the visualization feature. These are a few features that make it unique.

The product's features for cloud integration need improvement. They should revise licensing and pricing models to cater to smaller enterprises. Users must be able to customize and write their code similarly to one of its competitors. Many companies have in-house data science models for Twitter or Facebook based on predictive analysis. There is a possibility of integrating these models seamlessly into Tableau.

We have been using Tableau for a year and a half.

It is a very stable tool. I rate the stability a ten out of ten.

We have 10 Tableau users in our organization. We plan to increase software usage.

The technical support team is very supportive.

We also work with Power BI and an open-source solution. In comparison, Tableau has a sharp learning curve. It is intuitive and easy to use. It has less deployment time and impressive visualization features. We can connect different data sources, including SQL, Oracle, etc.

The initial setup process is easy. It takes less than an hour to complete. I rate the process a nine out of ten.

The product's price is relatively inexpensive and manageable for enterprise-level companies. However, they could reduce the cost or offer discounts for smaller companies.

I rate Tableau a nine out of ten. It is a stable and powerful tool compared to Microsoft BI.

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.

Public Cloud

Other

We use it in our parent company as well as in client companies. A few of our environments are on-premises, and a few are on Tableau Online. We have a mix of both.

The UI part is the best. The end-users can easily get started with Tableau Desktop or Tableau Online because of its user-friendliness.

I also work as an SME on the platform side. Tableau is very nice and jazzy for the end-users, but there are pain points for the admins. Performance is something about which we hear a lot of complaints, such as the dashboard doesn't open in time. It performs well on the desktop but not on the server. I know that there is always a limitation when it comes to a huge amount of data or the complexity of the calculations, but we often hear from end-users about the performance on the server side. It is easy to drag and drop all the columns and do what we want, but if it is not going to load better on the server, users are not going to like it.

Their standard support is not good. They should improve it. I don't know if it has anything to do with the acquisition, but lately, their support has not been great.

Their upgrades have always been an issue. They never work. 

Tableau is a little bit costlier than other tools such as Power BI.

They should make it easy to integrate with tools like SharePoint, Teams, OneDrive, etc. Its integration with Office 365 should be improved because most of the users already have tools like Outlook, Teams, and SharePoint, and they want to integrate a reporting tool or a visualization tool with their existing tools. 

It is very easy to integrate scripting in Spotfire. We can do a lot of changes in the UI by writing some scripts. That could be something that Tableau can look into. They can also consider providing APIs, but most of the people who work with Tableau do not really work much on the scripting side. So, I am not sure if it is feasible or required technically.

I have been using this solution for almost eight years.

It is scalable for online and on-premises versions. With the online version, they take care of the load, and we don't have to worry about that. For on-premises, initially, we used to have core-based licensing in which we had a cap on the number of cores we could expand to. We then moved to user-based licensing, which makes it easy to scale.

In our parent company, we have close to 200 users. We also have two clients on this platform. One of the clients has about 400 users. For another client, overall, we support close to 20K customers on this platform. That's one of the biggest environments.

Their premium support is really good, but their standard support is failing. Their standard support is the worst. We recently had an experience where we waited for more than seven days for a ticket to be picked up. It was vacation time, and there were a lot of factors, but their standard support is not good. For a few of our clients, we do have premium support, and they respond to any issue because we include the technical account managers in the communication.

Comparing it with Power BI, the main differences are the cost and the integration with Office 365. It is very easy to integrate Power BI with Teams or SharePoint because they all belong to the same company, whereas with Tableau, I have to integrate it with a third-party vendor. It is a little tough to integrate Tableau with SharePoint or Teams. Nowadays, everyone wants everything in one place; it could either be in SharePoint or in Teams. 

I have been working with Spotfire lately, and it is very easy to integrate scripting in Spotfire.

The Tableau server-side used to be very good initially, but for the last year, we are having issues with the upgrades. Their upgrades never work. We always get stuck while doing the upgrades, and we end up taking a different approach. We take the data and keep it somewhere. After that, we wipe out the entire server and install it again. We then restore the data into that environment. 

In terms of maintaining this solution, I used to belong to level three (L3) support till last month. We were only handling the performance issues and any issues that need RCA. The L3 support used to have close to five people. L2 support, which usually included adding a user, removing a user, adding a new group, and providing usual production support, was taken care of by the Ops team. They used to have more than five people on the team.

Cost is where tools like MicroStrategy, Power BI, or Spotfire come into play. Cost-wise, Tableau is a little bit costlier than other tools such as Power BI.

I have been using Tableau all these years, but about four years ago, Power BI came out at a very low cost. Their desktop version was free from the beginning. Power BI Desktop has always been free, whereas Tableau Desktop is costly. When it comes to cost, people prefer Power BI because it integrates very well with Office 365. You don't have to worry about integration with Teams or SharePoint.

It is easy to use for most business users, but before using it, you should understand the basics of dimensions or measurements. If you directly come to this tool without understanding the concepts of warehousing, dimensions, and fact tables, you would not get what you want. This applies to any reporting tool. You should have a basic understanding of what data warehousing is all about and then get started with the tool.

I would rate it an eight out of 10. Tableau has always been at the top of my list. Because of the technical hold that I have on the tool, I always prefer Tableau. It would always be on top as compared to any other tool.

Our customer uses Tableau for visual dashboard features.

The product offers an intuitive user interface, detailed screens and widgets, and the absence of data limitations. Its primary strength lies in visual analytics, allowing users to analyze data with visual compliance.

Tableau's data modeling, mining, and AI library features need improvement.

We have been using Tableau for five or six years.

The platform's cloud version is stable and has no CPU or RAM limitations. The dashboards work fast. In the case of an on-premise site, the stability is based on the hardware capacity.

The product is scalable. We have 50 users for it in our environment.

The initial setup is straightforward. It can be deployed in the cloud and on-premises as well. For successful implementation, one must ensure well-designed data regarding KPIs, data strategy, etc., if one has an in-depth understanding of easy deployment. One needs to log in and select the model for cloud implementation. Preparing a Tableau server environment for the project site takes around two days. It is a self-oriented structure and doesn't require any manual adjustment. It is easy to maintain and involves giving a few commands. However, one must update the product to avoid compatibility issues with Windows and Linux.

The product generates a value for investment.

Tableau has reasonable pricing similar to Power BI. It doesn't have any hidden costs.

Tableau has a good interface, is easy to deploy, and can be integrated with different AI systems. Compared to other vendors like SAP, the product's data layers need enhancement. Additionally, it could directly connect to cloud services similar to Power BI.

I rate Tableau a nine out of ten. I advise others to help from experienced consultant teams and trusted vendors for implementation. Another piece of advice is to begin small by downloading Tableau Desktop, testing it with your data, and familiarizing yourself with its logic. They can increase their knowledge with online training sources published on the product's website. It is free to access.

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.

We use Tableau for the dashboard features. It helps us with the global planning of our business.

The product has the best features for analytical views and filters. Its integration with Jira helps us prepare intuitive dashboards with filters to share different details of broad-scale planning for a quarter or a year of our business.

The product’s router could be better in terms of readability. When we put more information on a single screen, it gets compressed and superimposed in many places while scrolling. It could be improved.

We are using the beta version of Tableau.

I rate the product’s stability seven or eight out of ten. I have never seen it crash.

The product’s scalability is good; I rate it a seven or eight out of ten. I have seen many people concurrently using it.

The product is deployed on the cloud. I rate its initial setup process a five or six out of ten. It is difficult because it has complex documentation, and I am still learning it. A team is involved in the implementation. It takes three hours to complete the process.

I advise others to opt for a POC and proceed with the product. I rate it a seven 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.