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  • Tableau has grown to become one of the most popular business intelligence tools in the

  • entire world.

  • It is a BI software that allows non-technical users to visualize their data and work with

  • it almost immediately, lowering know-how barriers dramatically.

  • In the past, business analysts needed the help of IT personnel who would assist them

  • in gathering raw data and pre-processing it.

  • Only then could business analysts start working on the visualization of such data.

  • The advent of Tableau democratized this process and allowed BI analysts to be independent.

  • Non-technical people can easily load data into the program and start playing with it.

  • Tableau’s forte are meaningful and intuitive visualizations.

  • And sometimes that’s really valuable.

  • Analysts are able to explore their data right away, without spending too much time on numbers

  • which provide limited insights and instead focus on data that matters.

  • This is why we can confidently say that Tableau is an indispensable tool in the arsenal of

  • most corporate business intelligence analysts, data analysts, and data scientists.

  • Many people are uncertain about the difference between Tableau and spreadsheet tools like

  • Excel.

  • And that’s a reasonable doubt, until we point out they serve different purposes.

  • Using Tableau doesn’t necessarily mean you can forget about Excel, and vice versa.

  • While Excel is not as powerful or intuitive as Tableau when it comes to data visualization,

  • Tableau is not optimal when you would like to use it as a data creation tool.

  • Although it has several database management functionalities, the program isn’t the best

  • solution when you would like to perform multiple operations with your data before you start

  • analysing it.

  • Moreover, Tableau isn’t great for multi-layered calculations.

  • It is able to calculate its own fields, but it shouldn’t be used as a spreadsheet tool

  • for multi-layered calculations such as the preparation of a budget in Excel.

  • Where Tableau surpasses the competition is in data visualizations.

  • It is a very smart program that allows you to visualize data in a more powerful way compared

  • to Excel.

  • So, for example when you work with geographical data, there is no way Excel could interpret

  • the cells in your spreadsheet as a geographical location.

  • On the other hand, Tableau recognizes that and allows you to visualize such data and

  • see how a variable is distributed geographically.

  • Moreover, Tableau allows you to combine several types of charts and build up meaningful dashboards

  • that are truly interactive and facilitate additional analysis.

  • Once you visualize your data, you can easily dig deeper and explore its granularity, finding

  • the reason for unusual spikes or investigating certain trends.

  • Even novice Tableau users would be able to save a significant amount of time, if they

  • transfer their pre-designed existing Excel dashboards to Tableau.

  • Uploading new data and updating visuals is more rapid in Tableau.

  • Therefore, we can agree that a competent analyst needs both Excel and Tableau given that they

  • serve different purposes.

  • Tableau is superior when it comes to visuals and dashboards, and Excel is a spreadsheet

  • tool we need in order to perform multi-layered calculations.

  • In the same way a combat soldier carries a rifle and a pistol at the same time and uses

  • them under different circumstances, a business analyst should know how to work with both

  • Excel and Tableau and apply each of them when needed.

Tableau has grown to become one of the most popular business intelligence tools in the


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Tableau與Excel的對比。何時使用Tableau,何時使用Excel? (Tableau vs Excel: When to use Tableau and when to use Excel)

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    林宜悉 發佈於 2021 年 01 月 14 日