When we talk about Tableau, many probably wonder if they should invest their hard-earned dollars or their company’s dollars in that technology.
Therefore, I took Tableau benefits and disadvantages out. Tableau is, without a doubt, the leader in data viz space.
There are some limitations, though, that could point you to another tool. When you compare Power BI or Qlikview there are a lot of options out there. See our post on 4 Tableau Alternatives for reference.
How to perform Text Mining at the Speed of Thought directly in Tableau?
I was always tempted to reach out for a scripting language such as R , Python or Ruby while I was doing text mining with Tableau.
And then I’m feeding the results into Tableau. Tableau served as a communication tool to pleasantly portray the insights.
Wouldn’t it be useful to conduct text mining and deeper research directly in Tableau at the speed of thought?
Tableau has several fairly simple features for word processing that can be used for measured fields.
However, this is not enough to conduct text mining such as sentiment analysis, where splitting of text into tokens is necessary. The cherished incorporation of Tableau ‘s R certainly won’t help in this situation.
Users can incorporate Python or R to avoid the performance issues and to do complex table calculations in Tableau.
By performing data cleaning tasks with packages, the use of Python script can take the load off the software.
Python is not, however, a native scripting language which Tableau accepts. So, some of the visuals or packages you can import. You can see how Python has this down for Power BI, though.
Tableau Dashboard has a nice monitoring feature that helps you to precisely configure the dashboard for a single computer, such as a cell phone or laptop.
Tableau also knows which computer the user is reading the report on and makes changes to ensure the right report is delivered on the appropriate device.
Tableau did a great job climbing its way to the top of the tools for visualizing data. Therefore, Magic Quadrant according to Garner.
As a leader Tableau spent more than six years. Nonetheless, with the growing growth in data science, artificial intelligence , and machine learning, if it doesn’t evolve fast, Tableau could be left behind.
From the issues with 2017 financial reports, you can see Forbes’ concerns with the profitability of the Tableau
And, now that you are aware of all the tool ‘s wonderful facets, let ‘s delve into some of the more difficult features. The segment below will illustrate some of the pressure points which are shared by several Tableau users.
This is Tableau’s biggest issue, it’s a very expensive product to scale across a large organisation. Compared to BI tools which are cheaper and more rounded.
Tableau one of the costlier options. The only option for security and sharing is Tableau Server that can provide $175,000 for an 8-core option, and $35 per user.
Additionally, you can use the tiny, but $35 per month, Tableau Online. This can escalate while you are attempting to provide permission records for a significant number of users.
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