Data visualization has made a safe space in all corporate sectors. In a nutshell, data visualization is the graphical representation of information and data. Data visualization tools offer an easy way of seeing and interpreting trends, outliers, and patterns in data by utilizing visual elements like charts, maps, graphs. Let us understand the pros and cons of Tableau.
Tableau is a framework for visual analytics that transforms the way we use the information to solve problems, inspiring individuals and organizations to make the most of their information and data. It aids individuals and businesses to be more data-driven. Today, Tableau is one of the most common data visualization tools used by professionals in data science and business intelligence. This tool helps you to construct informative and impactful visualizations in an immersive and colorful manner.
With Tableau, data analysis is very quick and the visualizations that are produced are in the form of dashboards and worksheets. Also, it makes it possible to build a personalized dashboard for a non-technical user. Before applying this tool you need to understand the strengths and weaknesses of Tableau.
Tableau helps in the process of extraction of data that is stored in various locations. It is efficient enough to pull out or extract data from any conceivable network. Tableau can extract data from a basic database such as an Excel sheet or a PDF or a complex database such as Oracle, a cloud database such as Amazon website services, Microsoft Azure SQL database, Google Cloud SQL and other data sources.
Fig: Pros and cons of Tableau
This is one exceptional advantage that we can never miss out on. It is clear that Tableau is an outstanding platform for data visualization. This tool offers complex computation, data mixing, and dashboarding for the creation of beautiful visualizations of the data that offer information, which cannot be easily obtained or understood from staring at a spreadsheet. Due to its commitment to this mission, it has climbed to the top of the data visualization heap.
The next benefit of using tableau is that this tool can handle large amounts of data efficiently and effectively. The tool is so structured that it can manage and work with million rows worth of data. You can create various visualizations through different data sizes without disturbing or impacting the dashboards. This is an unbeatable advantage as data seems to be the heart of any project. And there is nothing better than accurate and easy handling of the same.
When one thinks about implementation, Tableau is very easy and comfortable. To cater to the extensive array of needs and requirements of different users, the benefit of using Tableau offers various visualization options. Another factor that makes Tableau an easy-to-use tool is that it can also be used by people who do not understand the basics of code. Since it is a simple user interface program, it is easy to use. It is supplemented with the quick feature that enables you to drag and drop, which is very simple to understand and use.
Creating and constructing a highly interactive visual can be made easily by means of the drag and drop option provided in Tableau. The software can accommodate infinite variations while not preventing you from making charts that are best practices for data visualization. All of the impressive visuals produced are saved in the Tableau Gallery and can be viewed there anytime.
Users may implement Python or R to prevent performance problems and to perform complicated table calculations in Tableau. By performing data cleaning tasks with packages, the load can be taken off the program using the Python script. Python is not, however, a native scripting language that Tableau accepts. So some of the packages or graphics can also be imported. The compatibility of Tableau to different languages makes the usage of the tool more convenient.
For IOS and Android, an advanced mobile app is available that brings mobility to Tableau users and ensures they keep statistics at their fingertips. The software basically supports a desktop version and an online version. The Tableau Dashboard has a great reporting feature that allows you to precisely configure the dashboard for a certain computer, such as a cell phone or laptop. Tableau automatically knows the computer on which the user displays the report and makes changes to ensure the correct report is presented to the correct device.
Users rate the overall performance of Tableau as good and stable. With ease, it can handle millions of rows of data. The benefit of Tableau is that it is possible to construct various forms of visualization in one shot. Tableau users are pleased to use the new product update because it is easy to carry out the updates. Compared to other big data peers, such as Qlik and Business Items, Tableau is a relatively low-cost solution.
There may be times when the screen resolution of the tableau creator is different from that of the end-user. Sometimes, it is possible that the design of the dashboards is disrupted. For instance, if the dashboards were produced with a screen resolution of 1920 X 1080 and are later displayed in 2560 X 1440. As the two screens are not in line with each other, there is a high chance that the layout of the dashboard would be slightly distorted. The dashboards of Tableau are not very responsive; hence the creation of a mobile and a desktop dashboard separately becomes essential.
The main challenge with Tableau is that it is a very costly product. Due to the same, scaling it over a large organization seems to be a matter of a huge amount of money. Compared to the less expensive and more well-rounded BI instruments, one of the more costly options in Tableau. The only solution for protection and sharing is the Tableau Server, which can be approximately $35 per user. Alternatively, Tableau Online, which is restricted but costs only $35 per user, can be used.
Tableau is exclusively a method for visualization. Tableau Desktop helps you to perform very simple preprocessing tasks. This requires data joining and mixing. You will have the ability to modify data forms. Most data will be exported into perfect tables in an ideal world. Data cleaning is, however, a required step. In most instances, an analyst needs to create a recurring data model to format the data. This includes a method to preprocess data prior to loadings, such as Altyrex, Power BI, Python or even Excel. In 2018, they launched their own Tableau Prep method for data preparation.
Another disadvantage of Tableau is that it does not provide custom visual imports. Tableau is not a completely open program. Here developers have an option of building custom visuals that can be easily imported from Tableau, unlike other resources like Power BI. So, it becomes essential to recreate some new visuals rather than importing them.
Tableau requires you to do the formatting manually. For consumers, the conditional formatting of Tableau and minimal 16 column table displays are pain points. There is no way a user can do so explicitly for all fields in order to apply the same formatting for different fields. You need to go through the entire same process for each sector. It is a very time-consuming and tedious job if one has to do it repeatedly, manually.
The parameters of Tableau are static and constant. And a parameter can always be used to choose a single value. You need to manually update and modify the parameters every time you change the data. Another disadvantage of tableau software, this process is very mundane and requires a lot of time. There is no way that a user can automate parameter updating.
In the Tableau tool, there is no choice for scheduling. Without the aid of scheduling, you do not get an automatic option for refreshing your reports. Therefore, there is some manual effort needed to update the back-end data.
Hire Tableau programmers with the domain experience to unleash the full potential of your data. Few reasons that make us the top company in Tableau are:
Our Tableau developers approach every project holistically, offering scalable, comprehensive, complete development roadmaps.
We understand monolithic systems, containers, serverless solutions to aid you with the best approach for your end goal.
Collective 20+ years of experience in Tableau.
Inhouse Domain experts to help you make better plans and implementation of data.
With complete transparency & control, the team reports directly to you, ensuring that everyone is on top of the project and deliverables all the time.
All code is tested and certified on quality with CodeGrip.tech. This guarantees that code is written correctly with test coverage and modularity.
A tableau is an important tool for data analytics and visualization that comes with some advantages and disadvantages. Hope our article helps you get a clear idea of the pros and cons of Tableau. The above discussion also gives you an insight into the tool and helps you better understand it.
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