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Pros & Cons Of Using Tableau For Your Projects

11th Oct, 2023
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    Pros & Cons Of Using Tableau For Your Projects

    One solution that certainly stands out in the market among the different data visualization products is Tableau Software. Tableau Software is one of the most fast-growing data visualization tools used in the Business Intelligence industry. It helps us to simplify the raw set of data into an easily understandable form without any technical skills and coding knowledge. It is rated as a leader for seven consecutive years by Gartner’s 2019 Magic Quadrant for Business Intelligence and Analytics Platforms rates.

    Let’s understand Tableau thoroughly.

    What is Tableau?

    Tableau is the swiftest-growing data visualization tool which helps you convert textual and numerical information to beautiful through interactive dashboards. It is the best way to change or transform the raw data into easily understandable data. Tableau is so popular, interactive, simple, fast and user-friendly and has a huge fan base in public and enterprise world. The great thing about tableau is that it doesn’t need any technical or any kind of programming skills to operate. It has accumulated interest among the people across various sectors like different industries, business, and researchers.

    Features of Tableau are:

    • Real-time analysis
    • Collaboration of data
    • Data Blending

    Why Learn Tableau?

    Tableau is emerging as one of the hottest trends in business intelligence in 2019. It offers a multitude of benefits to companies that use it for their business analytics needs. Let’s discuss the pros and cons. There is a huge demand for Tableau experts also there are huge rewards on offer as well. The average salary for a Tableau developer is $75,401 as per Payscale. Also, top companies like Dell, General Motors, Sony Electronics, etc are looking for Tableau talent. So what are you waiting for? Many professionals are learning Tableau to up-skill themselves.  

    Advantages and Disadvantages of Tableau:

    Before going into the details, let’s see the advantages and disadvantages of Tableau in a tabular form.

    High Performance
    Poor Versioning
    No automatic refreshing of reports
    Extensive customer resources
    Need manual effort
    Excellent mobile support
    Not a comprehensive solution
    Easy to upgrade
    No version control
    Low cost
    Requires SQL knowledge
    Quality Customer Service
    Ease of Use 

    Advantages of Tableau:

    Advantages of Tableau

    1. High Performance:

    Users rate Tableau’s overall performance as strong and secure. It can handle millions of rows of data with ease. The huge advantage of having Tableau is different types of visualization can be created at one shot.

    2. Mobile-friendly: 

    There is an accomplished mobile app available for IOS and Android which adds mobility to Tableau users and allows them to keep statistics at their fingertips. The app supports practically that a desktop and online version has.

    3. Extensive Customer Resources

    Tableau community is engaging and enthusiastic. It has various comprehensive online resources, guides, training, and online forums, etc.

    4. Excellent Mobile Support:

    Tableau has a huge percentage of users actively deploying mobile BI. It applies a lot of efforts in building a healthy mobile customer.

    5. Easy to Upgrade: 

    Tableau customers are happy with using the latest release of the software because the upgrades are easy to be carried out.

    6. Low Cost: 

    Tableau is relatively a low-cost solution compared to other big data counterparts such as Qlik and Business Objects.

    7. Quality Customer Service:

    Tableau has user and developer community where the queries are answered quickly.

    8. Ease of Use: 

    It is easy to use since it is simple user interface software. Also, it is simple to drag and drop interface which is very easy to learn.

    Disadvantages of Tableau

    Limitations of Tableau

    Tableau is the leader in the data viz space however, there are some limitations. Let's dive into some tableau limitations:

    1. Poor Versioning

    The main disadvantage of using Tableau is, only recent versions supports revision history and for the older one's package rolling back is not possible.

    2. No Automatic Refreshing of Reports:

    You don’t get an automatic option to refresh your reports with the help of scheduling. Therefore, some manual effort required to update the data in back-end.

    3. Need Manual Effort:

    Tableau’s parameters are inactive and only a single value can be selected using a parameter. You need to update it manually whenever the data gets change.

     4. Not a Comprehensive Solution

    Even if the Tableau Software is easy to use for BI application, still it doesn’t provide any platform for developing analytic applications that can be widely shared. Also, it doesn’t suit the business that has expanded deployments of broad business.

     5. No Version Control:

    Once the dashboards and reports are published on the server you can’t get back to the previous levels of data in Tableau. It is not possible to go back and recover old data.

    6. SQL Knowledge

    You need to have SQL knowledge in order to create rich and complex datasets from multiple data sources. A tableau is an excellent option for business users to play with the data once the dataset is created.

    Despite some cons, the pros clearly outweigh the cons and Tableau is the most preferred choice for creating interactive data visualizations.

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    Frequently Asked Questions (FAQs)

    1How can I make my Tableau dashboards interactive?

    You can add interactivity to your dashboards by using filters, actions, and parameters to allow users to explore data dynamically.

    2Is Tableau available for free?

    Tableau offers a free version called Tableau Public, but there are also paid versions like Tableau Desktop and Tableau Server with more features and capabilities.

    3Can I connect Tableau to various data sources?

    Yes, Tableau supports connections to various data sources, including databases, spreadsheets, cloud services, and web data connectors.


    Utpal Kar

    Blog Author

    Utpal Kar, a seasoned Corporate Trainer, excels in conducting training programs encompassing Advanced Excel, Power BI, Python, SQL Server, and Unix/Linux technologies. Notably, he holds a Python Certification from LinkedIn, showcasing his proficiency in the domain. Currently serving as a Corporate Trainer at Innovative Technology Solutions, Utpal specializes in Python, VBA Macro, Advance Excel, Power BI, and PostgreSQL, along with a breadth of other languages like .Net and Java. Prior to this role, he made significant contributions at NIIT Ltd., providing technical support and solutions to Franchisee Centres. With over 4 years at Innovative Technology Solutions, Utpal remains dedicated to enhancing skill sets and driving performance for professionals across various industries.

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