If you're reading this post, you're probably thinking about whether you should put your hard-earned cash or the money of your company on Tableau. This is why I've broken down the advantages and drawbacks of Tableau. It is without a doubt that Tableau is the top choice in the field of data visualization. There are however some shortcomings that could point to a different tool.
Investment Reasons:
Benefits of Tableau
1. Data visualization
Tableau is an instrument for visualizing data in the first place. Its technology can be used to facilitate complicated calculations including data blending and dashboarding to create stunning visualizations which provide information that cannot be easily obtained by looking at spreadsheets. It's reached the very top of the heap of data visualization because of its commitment to this mission
2. Fastly Create Interactive Visualizations:
Utilizing the drag-and-drop features of Tableau users can create an extremely interactive image in just a few minutes. Tableau's interface is able to handle endless variations, while also keeping the creation of charts that go against the best practices for data visualization.
3. Easy of Implementation
There are numerous types of visualization options that are available in Tableau which can enhance your user experience. Additionally, Tableau is very easy to master when compared to other options like Python, Business Objects, and Domo. People who do not have any prior knowledge of programming can master Tableau. If you are new to the Tableau tool then Tableau Training will help you to enhance your knowledge.
4. Tableau is able to handle huge amounts of information
Tableau handles millions of rows in a matter of minutes. Different types of visualizations can be made using huge amounts of data, without affecting the performance of dashboards. There is also an option within Tableau that allows users to create "live" connections to various sources of data, such as SQL and more.
5. Other scripting languages are used in Tableau
To reduce the issues with performance and for complex calculations on tables in Tableau users can use Python as well as R. Utilizing Python scripts, you can ease the burden on the application by doing data cleansing with software. It is important to note that Python does not come with a scripting native language that is accepted by Tableau. Therefore, you can use some of the Tableau visuals or programs. But, you can also observe how this works using Python to Power BI.
6. Mobility Support, Responsive Dashboards, and Mobile
Tableau Dashboard offers a fantastic reporting option that lets you personalize the dashboard to suit specific devices, such as laptops or mobile phones. Tableau automatically detects what device the user using to view the report and makes adjustments so that you can ensure the appropriate report is displayed to the appropriate device.
7. Tableau Company Strategy
Tableau has done a fantastic job in climbing its way up the ranks of the data visualization tools. This is, in accordance with Garner Magic Quadrant. Tableau has been around for longer than six years leading the field. But with the growing demand for artificial intelligence, data science, and machine learning, Tableau may be left behind if it does not develop rapidly. As you can see from the problems with the financial report for 2017 Forbes is concerned about Tableau's profitability
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