The Two Faces Of Tableau

Businesses handle large chunks of data daily. What if there is a way if data could be visualized? It would benefit businesses and businesses can extract useful information. One such software can be used in Tableau. Tableau is a potent data visualization tool with one of the quickest growth rates in the business intelligence sector. It helps to condense raw data into a relatively comprehensible format. Thanks to Tableau, professionals at all levels of an organization can comprehend data. It also enables non-technical users to create customized dashboards. The Tableau application allows for quick data analysis, and the dashboard and worksheets produced are examples of visualizations.

In this article, we’ll be looking at the advantages and disadvantages of Tableau.

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Pros of Tableau

We’ll look into the advantages of Tableau. Some of them are listed below.

1.?Data Visualization

Tableau is primarily a tool for data visualization. To build spectacular visuals that offer insights that are challenging to gain by just skimming a spreadsheet, its technology supports complex calculations, data mixing, and dashboarding. Due to its commitment to this goal, it has ascended to the top of the data visualization heap.

2.?Creating Interactive Visualization

The user can quickly construct a very interactive visual with Tableau's drag-and-drop features. The interface can accommodate countless modifications, but it prevents you from producing charts that follow the best principles for data presentation.

3.?Easily Implementable

Tableau offers a wide range of visualization options that improve user experience. Additionally, compared to Python, Business Objects, and Domo, Tableau is much simpler to learn, making it accessible to those without coding experience.

4.?Handling Large Chunks of Data

Millions of rows of data may be handled with simplicity with Tableau. Large amounts of data can be used to generate a variety of visualizations without degrading the dashboards' performance. Additionally, Tableau has a feature that allows users to connect "live" to many data sources like SQL and others.

5.?Usage of Scripting Languages in Tableau

Users can utilize Python or R to circumvent performance problems and execute intricate table calculations in Tableau. The workload on the software can be decreased by utilizing Python script to run data purification processes with packages. However, Python is not supported as a native scripting language by Tableau. You can import some of the packages or visuals as a result.

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Cons of Tableau

We’ll now look into the disadvantages of Tableau. Some of them are listed below.

1.?Notification of Reports

Reports cannot be automatically refreshed using scheduling in Tableau. Therefore, when users change the data in the back end, some manual labor is needed.

2.?Absence of Custom Visuals

Tableau is not entirely open source. Unlike other technologies like Power BI, developers may produce unique graphics that can be quickly integrated into Tableau. Any new visuals must therefore be produced from scratch rather than imported.

3.?Custom Formatting

Users complain about Tableau's constrained 16-column table displays and conditional formatting. Additionally, there are no direct means for a user to apply the same formatting to all fields at once. Users must complete each extremely time-consuming field manually.

4.?Static and Single Value Parameters

Tableau's parameters are static and can only ever be used to pick a single value. These parameters need to be manually adjusted each time the data is modified. The updating of parameters cannot be automated by the user.

5.?Screen Resolution

If the end user's screen resolution and the tableau developer's screen resolution change, the arrangement of the dashboards will become slightly distorted. For instance, if the dashboards were developed in a 1920x1080 screen resolution but are being seen in a 2560x1440 screen resolution. Additionally, their dashboards don't respond.

6.?Limited Data Pre-Processing

A tableau is solely a tool for visualizing data. You can perform very minimal preprocessing using Tableau Desktop. This also applies to combining and connecting data. Additionally, you can alter data kinds. Most data would be exported in flawless tables in an ideal world. Data cleansing is a vital step, though. To format the data, an analyst typically needs to create a recurring data model. This necessitates preprocessing the data before loading it using a program like Altyrex, Power BI, Python, or Excel.

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Conclusion

Tableau is a powerful tool that is used for visualization by most business entities. There are both advantages and disadvantages of Tableau, which have been brought to the spotlight in this article. Skillslash?also has in store, exclusive courses like Full Stack Developer Course, Web Development Course,?Data Science Course In Faridabad?and BEST DSA COURSEto ensure aspirants of each domain have a great learning journey and a secure future in these fields. To find out how you can make a career in the IT and tech field with Skillslash, contact the student support team to know more about the course and institute.