Tableau Reviews

• Table joins
• Formulas
• Visualization
• Dashboard

I used this product to provide reporting and analysis solutions to my clients. It enabled a small organization to employ a state-of-art reporting tool without massive IT implementation cost (such as servers, ETLs, data admin, etc.). Utilize only basic Excel tables as the data input (5-6 Excel tables), my clients can visualize their quarterly reporting in one reporting package and share with their colleagues.

I would say they could improve the data blending within the desktop version. Ideally, it is better to be done on the server, but for small businesses (or company divisions), the server is not an option due to cost.

For the China market, I would encourage them to offer a license below $1,000 per year.

I used it for six months.

I developed the dashboard / storyboard for just one user, so I had no issues at all, except the limitation on the table join side.

I did not utilize the tech support on my desktop deployment.

I previously used MicroStrategy. I chose Tableau for three reasons:

• Powerful functionality
• User-friendly interface
• Great community

The desktop version is easy to setup.

I implemented it by myself.

On the desktop version, use the community forum wisely; you will be able to find enough support for 99% of your challenges.

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 have diverse use cases for Tableau for our clients who come different industries including manufacturing of ornamental stones, clothing and automotives. These clients have been using Tableau for tasks such as tracking leads, finances and stock management.

Tableau makes it easy to build panels. The best use case for us is the solution's integration with Salesforce because we are also partners of Salesforce.

Some of our clients are looking for better UI when using Tableau as they often work with this solution directly. 

The solution could be improved by facilitating integration with data lakes such as Google Cloud Platform. Some of our clients have around 1 billion lines in their tables and usually we need to scale them from MySQL to a Google Cloud Platform.

We have been partners with Tableau for three years and have been using the solution for four years.

This is a scalable solution. We have databases from 1 million to 100 million roles that run very fast.

The initial setup was straightforward. 

Some of our clients have seen a ROI with Tableau within five to six months as they previously had no BI solution in place. 

When presenting Tableau to clients, we show them how Tableau works and how it integrates as a bundle with other partners such as Salesforce. These integrations make the management of data easier. 

I would rate this solution a nine out of ten.

My client was initially using SAP BO as a reporting tool. This client added another entity to their organization and considered using Tableau for reporting purposes. The reason for choosing Tableau is because it is easy to use and we already had some developers with experience using Tableau. We have not done a complete migration from SAP BO to Tableau due to the volume of reporting still in SAP BO which Tableau cannot handle. 

When creating reports for entities with less data, we make use of Tableau. We have trained 10 to 15 developers for this reporting. It took two to three months for them to master reporting in Tableau. 

We use Tableau to create reports based on geographical maps to show the impact of natural hazards on the insurance industry. This solution offered us the flexibility and ability to visualize this type of information. We also use Tableau to host reports which are published on a weekly schedule to certain user groups. 

Tableau has data relationships that can be applied to a data source which helps build out a directory which is helpful. Data blending has also been valuable to us.

The extraction, transformation and loading of data in Tableau takes a lot of time and we do not have confidence that Tableau is showing all the data we need. This is due to limitations on data extraction which needs to be improved.

We experience user restrictions using Tableau and require a more dynamic setup for extraction of data, configuration of reports and providing access to users. 

Tableau useful for dashboard reporting, however, there are limitation on the number of rows of data you can view in a report. It is for this reason that we use Tableau alongside other reporting solutions. Tableau does not support any HTML coding in the same way Power BI does. 

There is a maximum number of tables we can use in Tableau. This could be improved in a future release.

I'm have been working with Tableau for seven years.

Tableau is a stable solution. 

This is a scalable solution. 

We continue to use SAP BusinessObjects Business Intelligence Platform. 

Tableau is a business intelligence tool. It allows you to extract specific insights and analyze data. It comes with many add ons and features including stories and dashboards. Our biggest challenge when using Tableau is the ETL size. It is for this reason we are switching to Power BI. 

I would rate it an eight out of ten. 

We use Tableau, to retract, and for visualizing data.

I primarily use it at my company, but I do some implementation as well, with a teammate.

Tableau is used to visualize analyzed data for our customers.

From my perspective, it enables clients to better understand our data and make better decisions based on that information.

I would look at Tableau's security and performance. I take a long time to process the hundreds of thousands or millions of records that must be processed every day. I am hoping that it can be improved very soon.

I have been working with Tableau for the last three years.

Tableau is a stable product.

I would say that the technical support is adequate. We are unsatisfied with the support because every time we have a new problem, it will go to tier 1, and the tier 1 will take several days to reply to us, and then the result is not very satisfying, as we are still stuck with the problem. It is then escalated to tier 2, or sometimes tier 3, which can take about two or three weeks, as an estimated length.

Definitely, technical support could be improved.

In a previous company, I worked with IBM Cognos to focus on data, for instruction saving and loading that data in a very efficient way.

I also use other types of data extraction, such as Vanilla. It's a new software from France that is being used by a number of non-government organizations to restore data.

The initial setup is quite complex.

We completed the setup ourselves.

I recommend that they install it using a virtual machine or Docker first, as they may encounter issues with other projects if they are running on the same server.

I would rate Tableau an eight out of ten.

Tableau is easy to use.

Tableau has so many functions, so sometimes it's hard to find the right solution quickly. I have to search multiple menu bars to find the right command.

I started working with Tableau two years ago.

In some projects, Tableau isn't stable. Sometimes it calls automatically.

Tableau is scalable. Right now, 200 to 300 people at my company use it.

Their web-based tech support is okay.

Setting up Tableau is easy.

Tableau's price should be lower so more people can access this application.

I rate Tableau eight out of 10.

On-premises

We use Tableau to provide analytics and dashboards. We also use it to automate manual work.

You can create attractive dashboards that inform users using Tableau.

They must have a write-back solution. You must have the ability to write back into the database, otherwise, it prevents full automation.

That's one reason why people still need their own Excel sheets and other tools where they can interact with data that's already in the database. You win completely the moment you load that in, in a central way. You could say that you are completely automated.

They need a write-back; that is what is missing. If they get the write back to the database, they will be fully automated, but for the time being, they are not.

I have been using Tableau for two and a half years.

We are using version 2021.3.

It's a fairly stable product.

Tableau is a scalable solution.

Tableau is used by approximately 90 people in our organization.

We do not intend to increase our usage. I've asked for reports on how many users we get on a daily basis, as well as how many people use it and then don't use it for weeks. How long do they stay if they come in, and what are they looking at?

We are attempting to purchase a tool that will provide us with that information. We know which dashboards are popular, which are not, and why the popular ones are popular while the unpopular ones are not. We need to get an add-on that will tell us exactly what makes the dashboard sticky and what keeps people coming back to use it.

We use technical support, but I don't interact with them directly. Our IT support team is the one who helps us. Our IT support team works with Tableau support to resolve issues, opening tickets and tracking them.

Prior to using Tableau, I used Power BI.

We don't do a lot of installation. Once you have a server license, you can literally create it in the server now that you have a server license. There are no issues with installation.

The installation does not require a lot of time.

We have one or two engineers who maintain this solution.

We have a server team to deploy this solution.

We are paying an annual licensing fee.

I believe it is a good tool, and I would recommend it to others.

I would rate Tableau an eight out of ten.

On-premises

We use Tableau for working with data.

Compared to other products, visualization features are really good. When it comes to data availability and visualization, some tools like PowerBI give 20% to the visualization and 80% to the data. With Tableau, it gives 80% to the visualization and 20% to the data.

All of the BI tools have graphical interfaces but when it comes to the learning environment, not every tool has everything. To be the best in the market, Tableau has to improve its user interface and also look into developing implementing the best machine learning algorithms.

Including data storage capabilities would be helpful.

During the data crunching phase, it takes time for Tableau to connect, integrate, and download the data. In general, it takes a lot of time for the ETL process.

Increasing the trial period to six months would allow people to better learn and assess the tool to determine whether it suits their needs.

Given the price of BI tools, Tableau should consider giving a scholarship to people so that they can learn how to work with the tool. It would be helping some of the people who lost their jobs during this pandemic. If the users learn and become certified on Tableau, it would help to get more people interested in the tool.

I have been working with Tableau for approximately five years.

The price of Tableau is reasonable compared to other products. One thing to keep in mind is that price is not the only thing to consider. The first time that you want to test any BI tool, you have to give the user some time to work with it and learn it. This means that the trial period should be as long as possible.

Many startups can't afford most of the BI tools, so they are looking for open-source platforms.

We are currently focused on building a data lake. Whether it is ultimately a data lake, data warehouse, or other data storage, we will require tools. There are several that we are looking into now. It is a collective effort with the data and the tools that we have, and what BI tools are necessary and required. Some of the solutions we are looking at are Alteryx, Azure, and Qlik Sense, in addition to Tableau.

With Qlik Sense, there is an ETL component and there is also a data storage option.

I would rate this solution a seven out of ten.