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Data Visualization using Tableau in Business Analytics

by Ashish Bansal
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Data visualisation

Data is expanding at a breakneck pace, and we now create even more information because of the internet’s spread. Analyzing this massive volume of data is a time-consuming and complex undertaking. As a result, businesses use BI technologies to identify critical business indicators. While there are numerous business intelligence and data visualization solutions available today, Tableau has consistently been one of the most exceptional tools for business analytics. In this article, you will understand everything about Data visualization using Tableau in Business Analytics.

Introduction to Data Visualization

The graphical presentation of data and information is known as data visualization. Data visualization tools, including visual components charts, graphs, and maps, give an easy method to observe and comprehend patterns, trends, and outliers in data. Data visualization technologies and tools are critical in the Big Data environment to analyze enormous volumes of data and make data-driven choices.

Benefits of Tableau for Business Intelligence Industry

Visualizations are quick and interactive

Tableau specializes in attractive graphics and provides rapid insights with simple drag-and-drop functionality, allowing you to analyze essential data and communicate vital discoveries swiftly.

Simple to use

Tableau allows you to produce sophisticated representations in only a few seconds! It enables you to accomplish complicated operations with simple drag-and-drop functionality, allowing you to answer your inquiries quickly.

Handles Enormous Amounts of Data 

It supports native SPSS, Excel, and other data formats, and it can even link to live data sources to give businesses real-time findings on important business KPIs.

Mobile-friendly dashboard

Tableau dashboards may be viewed and manipulated on various devices, including your laptop, mobile phone, and even a tablet! You don’t need to do anything further to make your dashboards mobile-friendly. Tableau recognizes the device you are using to see the report and makes modifications appropriately.

Compatibility with Scripting Languages

While Tableau users can conduct basic calculations, you may want to go ahead and execute more advanced computations! The BI tool allows you to interact with R or Python, augmenting data with visual analyses.

If all this sounds interesting, then you might want to consider a career in this promising field, check out data science and business analyst courses online.

Why is Data Visualization important for any sector?

Understanding data improves every STEM sector, such as finance, government, history, marketing, consumer products, service industries, education, and sports. While we’ll continue to wax poetic about data visualization, there are unquestionable practical, real-life implications. And, because vision is so prevalent, it’s also one of the most valuable professional abilities to cultivate. The more you can graphically explain your arguments, whether in a dashboard or a slide deck, the more effectively you can utilize that knowledge.

The notion of the citizen data scientist is gaining popularity, and skillsets are evolving to meet the demands of a data-driven environment. Professionals who can leverage data to make decisions and use graphics to share stories on when data informs the who, what, when, where, and how are becoming valued. While conventional schooling often draws a clear distinction between creative storytelling and technical analysis, the current professional world also emphasizes people who can bridge the gap: data visualization falls solely between analysis and visual storytelling.


Using data to uncover critical insights helps businesses stay competitive. With Tableau providing stunning representations of complex data, it is reasonable to expect that enterprises will increasingly recognize its usefulness. You can check out the data science certification from Great Learning to learn more about this field.


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