In our organization, we use Tableau for several use cases. The first one is the sales dashboard, which includes sales performance reports, leads, and opportunity status dashboards. The second use case involves financial analytics dashboards, such as 'what-if' analytics in financial terms.

The most valuable features of Tableau include the drag-and-drop functionality and the ease of use of the user interface. A significant feature for me is the real-time connection to data sources because it effectively manages large data sets. Additionally, the real-time data processing eliminates the lack of timely reports or dashboards, allowing for hour-by-hour updates instead of monthly or weekly ones.

An area for improvement in Tableau is the Explorer license type. It is not as useful, and the product owner should enhance its benefits or clarify its role. Additionally, the frequent updates with many versions available for download can be confusing and could affect stability. They should avoid providing access to older versions on their website.

I have been working with Tableau for three years.

The deployment process involves creating the dashboard on my PC or notebook and then sending the workflow to the IT team, who helps with the deployment. Only two people were needed for control and training, making it cost-effective.

I rate the stability a five or six because Tableau updates very often with new versions or patches. This requires downloading the latest version, but older versions are also visible, which can lead to confusion.

I rate the scalability of Tableau at eight. Tableau is easy to use across various dimensions, whether on-premises or on the cloud. Whether it's installation, configuration, dashboard creation, or deployment, it's seamless in both environments.

The customer service and support for Tableau in Thailand are excellent. They provide quick email and phone responses and have Thai-speaking personnel. Being part of Salesforce adds to their efficiency and responsiveness.

Neutral

I used Power BI and Oracle Analytics Cloud before Tableau. My decision to switch wasn't due to the inadequacy of the tools but primarily influenced by the end user's needs and the integration with existing infrastructure. For instance, if a client is already using Google Cloud, they prefer Looker; for on-premises, Tableau is preferred.

I rate the initial setup an eight, as it is easy to complete. You can download the necessary software from their website and then license it by adding the license key. It's a straightforward process.

The deployment involved myself and another person for training and control. We were able to manage the deployment internally without the need for external help.

The ROI of using Tableau extends to its seamless integration across various platforms, as it's from Salesforce and thus not limited to any specific cloud provider. This enhances connectivity and saves on total project costs.

Tableau is rated an eight because it is pretty expensive compared to alternatives like Power BI. The pricing could be reconsidered based on the region, especially in Asia Pacific, considering local budget constraints.

I evaluated alternatives like Power BI, Looker Studio from Google, and Oracle Analytics Cloud before choosing Tableau. The choice was primarily driven by the need to align with the client's existing IT infrastructure.

Overall, I would rate Tableau as an eight out of ten. While its features and integration capabilities are impressive, there's room for improvement in the stability brought about by frequent updates.

On-premises

I use Tableau in the banking sector for data visualization and financial analytics. It helps in processing large amounts of data and generating high-level reports.

Tableau efficiently handles large amounts of data and automates processes, reducing the need for manual work. This automation provides resources that are highly cost-effective and helps with high-level analysis and decision-making. The platform supports live connections and real-time data processing, which is crucial for our reconciliations that need frequent updates.

There are restrictions in scheduling reports. For instance, we cannot send the entire Excel file reports via email within Tableau. While high-level snapshots can be sent, extracting raw data requires server access.

I've been working with Tableau for more than five years.

I find it quite easy to deploy Tableau.

I rate the stability as eight out of ten.

I rate the scalability as eight out of ten.

The technical support for Tableau is quite good. I would rate it nine out of ten.

Positive

The installation process, including setup and configuration, takes approximately thirty minutes to one hour.

Tableau reduces manual labor and resources, providing cost-effective solutions for our operations. This saves a significant amount of time, particularly for reports that would have needed around fifty people. The automation is a valuable asset.

We have different types of licenses for Tableau. The cost for viewer rights is around $60, but it can vary based on the business and is usually for a year.

I recommend Tableau to other users and businesses. My overall rating for Tableau is eight out of ten.

Private Cloud

Amazon Web Services (AWS)

The primary use case of the solution is for it to be used as a visualization tool. It is a counterpart of Microsoft Power BI and is used for visualization and reporting purposes.

The solution provides the leverage of having custom visualization and the capability of self-service. I can drag and drop and create reports based on requirements. Data blending comes within self-service, allowing me to generate information.

There should be a generated AI feature that can be added to enable me to generate information. The visualizations should be user-friendly and allow for more custom visualizations.

I have over six years of experience using the solution.

I would rate the stability as three when comparing it to Tableau and ten being the least stable. So, I consider it to be a seven out of ten in terms of stability issues.

In terms of scalability, while it is better than PowerView, it is not as good as Cognos or Microsoft Azure.

Customer support is very satisfactory, and I would rate it as eight out of ten.

Positive

I am the implementer of the tools.

The overall rating for the solution is seven out of ten.

Other

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.

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.

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. 

Neutral

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.

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 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.

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.

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