Tableau [Private Offer Only]

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

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

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

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

I have approximately eight years of experience working with Tableau.

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

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

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

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

Positive

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

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

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

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

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

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

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

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

We have implemented Tableau  for visualization, and that experience has been good, as we have been using Azure  AI Foundry rigorously since the last two months, which has also been a good experience. I think that it's a new service that they launched roughly a year back.

We have been using Tableau  for the last eight to nine years, and that is a good solution. The experience has been good; though, customization is not so easy. By customization, I mean, for example, we are thinking of introducing an NLP-based feature, exposing a REST API into the solution, and that sort of thing is not easily done. Otherwise, as far as the BI tool is concerned, Tableau is quite good.

Tableau is quite easy to develop dashboards with, and the range of dashboards is good. The drag-and-drop features are also quite good.

Tableau is quite scalable; on a scale of one to ten, it would rate as a ten for scalability.

Tableau's stability is highly stable, and it would rate at a nine.

Introducing custom features, such as NLP-based reports, is not very good in Tableau. My MD has been asking us for a way to write in natural language to request reports that the system should generate, but that isn't very effective with Tableau. As a developer, I can develop an on-demand report in Python quite easily, but exposing a REST API on the Tableau platform is not a very easy task.

AI enablement is an area for improvement for Tableau, and that is something they might have to work upon. I have heard that ThoughtSpot  is quite better in this regard, but the cost of ThoughtSpot  is much higher.

ThoughtSpot has lots of natural language-based report generation features that Tableau lacks.

We have been using Tableau for the last eight to nine years.

I would rate Tableau's technical support as good, rating it at a nine.

Positive

I have had experiences working with IBM SPSS Modeler , which is IBM PASW, but it wouldn't be relevant feedback because they offered it for free, and it was end of life. The IBM PASW was outdated around five years back, so we shifted to Python-based solutions, open source.

It was a fine solution, but since things in this field in AI/ML are constantly changing, my experience with IBM PASW, where SPSS Modeler  was the major component, wasn't so great. The product is outdated, and they have removed it from their suite of software offerings.

The initial setup of Tableau was easy; it wasn't difficult at all.

Initially, we got Tableau through a reseller, and the deployment was done by that third party. Later on, we took the deployment in-house, and most of our subsequent deployments were done internally.

It's very difficult to calculate an ROI for these sorts of initiatives because you cannot directly convert it into manpower savings or similar metrics. However, we have performed some cost-benefit analysis, and we derive benefits from Tableau primarily in terms of data and dashboards being made available for respective views throughout the organization. While ROI calculation is slightly difficult because you cannot associate revenue with certain dashboarding activities, we assess some cost benefits.

The pricing of Tableau is on the higher side compared to other competitors, such as QlikView  or Microsoft Power BI .

An important point is that you can easily find resources who have worked on Tableau, but with ThoughtSpot, finding a resource with that experience might be difficult.

As far as dashboarding and connecting to various databases are concerned, Tableau is quite good. I rate this solution an eight out of ten.

My main use cases with Tableau  include working on the migration of dashboards from legacy systems to cloud-based solutions, such as migrating from Looker  to Tableau  Dashboard or Power BI to Tableau Dashboard. Recently, since the acquisition by Salesforce , the demand in the Tableau space has decreased compared to Power BI, as many clients are moving towards Power BI due to its more affordable licensing and the appealing use cases that it offers.

Tableau has recently announced the Tableau Next platform, which is exciting, but there are still uncertainties about how it will pan out compared to other BI tools in the market. Currently, our focus is primarily on dashboard development and migration between platforms, setting up business architectures, recommending tools based on user requirements, and conducting benchmarking to understand market offerings. Tableau is my main tool, and I continuously explore what's happening in the space to determine if Tableau is performing better or what innovations are on the horizon.

When comparing Tableau to other BI tools, they are generally on par, but the drag-and-drop feature in Tableau is user-friendly, and it handles large data sets more effectively than Power BI. Tableau's ability to manage extensive data, even in an extract format, is noteworthy, as Power BI struggles with that.

Creating dashboards and performing calculations in Tableau is quite straightforward and provides a better user experience compared to Power BI, which can feel more outdated. Although Tableau comes at a premium, the performance on the cloud platform and the overall ease of use for developers are significant advantages, even though it isn't designed for tabular reporting some users, particularly in finance, desire.

From a customer's point of view, I have noted that after the acquisition by Salesforce , the customer service for Tableau has declined significantly. I have observed this during my interactions, particularly a couple of months back, where the responsiveness and quality of service were lacking. There are many areas for improvement, especially considering the issues experienced in navigation and rendering services on Tableau Cloud, which I believe could be addressed more effectively.

I have been working with Tableau for seven years or more.

I would rate support at around six out of ten based on my experiences, which have involved back and forth communication and delayed responses, even with a customer representative. While I understand that Platinum customers receive prioritized support, there should be consistent standards for all users.

Neutral

Tableau can be a cost-effective tool, providing a good return on investment, especially for analyzing large datasets. However, for a medium-sized company that does not handle as much data, Power BI might be a more suitable option. The choice ultimately depends on the organization's specific data volumes and the complexity of its analytical needs.

For companies managing billions of records and complex KPIs, Tableau is a worthwhile investment. The key is evaluating how many dashboards are necessary daily and how they justify the incurred costs. Power BI, being cheaper, is a more viable option for lower data requirements.

Regarding pricing, while I cannot comment on specific user licenses, Tableau is indeed more expensive than Power BI. The difference is not excessively high though; it's manageable in the grand scheme of things, though Looker  is known to be quite expensive.

We are a review website requesting feedback to create articles that help people considering this tool to understand it better, including all the benefits and useful features it can bring. This feedback is used for research and slightly for the development or improvement of the tool, as vendors such as Tableau and Salesforce sometimes visit the website to check what people think about their tools and potentially improve them. The reviewer has requested to remain anonymous.

My current rating for Tableau is around seven. I've noticed some recent changes that could impact this rating further, so while I'd previously rate it higher, I think it's fair to mark it at six and a half to seven for now.

I am supporting a product company for market analysis and market research where we are using Tableau .

For retargeting and validating purchasing decisions, we use AI to create visualizations for predicting spending habits for the next six months for different categories.

The most effective features of Tableau  for data analysis are visualization, comparison, and data analysis, which is much practical in this kind of project.

We are using AI features in Tableau.

For retargeting and validating purchasing decisions, we use AI to create visualizations for predicting spending habits for the next six months for different categories.

The interface needs improvement as sometimes it is locked, and it takes some time for the visualization and dashboards to load. There is some delay if the data volume is high, and the failure log is not always practical.

The failure log sometimes does not give every detail about why the data has failed.

Installing Tableau is not easy.

I have been using Tableau for around four years.

It is easy to handle large sets of data as Tableau supports large data sets, and it is all about structuring and defining the data.

I rate the scalability of Tableau as nine as it is very scalable.

It is not expensive to scale.

I rate technical support from Salesforce  around ten, as the support is good.

Positive

Tableau is saving me time, money, and resources, which I would rate as ten.

I see the savings around 20 to 25%.

Regarding pricing, I consider it around six.

It is a bit on the pricey side, so I rate it around six.

Failure-related data sometimes does not seem practical, but that is acceptable.

While maintenance is a core task, it is easier compared to any other product.

Maintenance is taken care of by another team. I am a service provider and only look into market intelligence elements as a strategic consultant for them.

I am a founder who supports consulting and product development, market strategy, and software development for different clients.

My email is .

I rate Tableau overall around 8.5.

Positive