Tableau Enterprise Reviews

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.

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.

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.

Tableau can process a huge amount of data, which is one of my main criteria. Another significant feature is change management. Enhancements to existing dashboards or reports can be made quickly. The security of Tableau is also pretty good.

Tableau's ability to handle integration and the stability of the tool itself are the most valuable features. It can process a huge amount of data. Multiple sources can be connected to Tableau, and meaningful insights can be derived. Tableau serves as a stable dashboarding tool for higher management, aiding in quick decision-making.