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Why Data Visualization?

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In the world of big data where every organization is getting flooded with data, you need tools that can make your data talk and impact the decision-making ability of any organization. Data analytics and data visualization tools play a pivotal role in the modern world. Data visualization helps in visually representing the data in form of graphs, charts, and maps which can help any individual to identify the pattern and trends in data.

Data analytics and data visualization come under the same umbrella but there's a slight difference between these two data analytics help in analyzing the data for decision making while data visualization is just representing the data in form of graphs. Eventually, both of them make a great impact on the decision-making process. There are two aspects related to data visualization exploration and explanation of data.


The majority of humans aren't much aware of statistical data and the methods used to interpret it. You can only make data visualization effective by selecting the right graphs (visualization) which are intuitive and easy to interpret for the audience. 

When we talk about data visualization tools excel is one of the basic visualization tools but it offers a limited function which is not a great option for a data visualization tool. You need some advanced features which are necessary to get a bigger picture out of your data.

Common data visualization tools-

  1. Tableau: It is the leading data visualization tool. It offers a variety of options from the desktop app, server, and a free public version. It offers various infographics and visualization that can be used in a variety of conditions. With several data importing options and free video on how to use Tableau there is a setback i.e. you can not keep your tableau visualization private if you are using Tableau Public.
  2. D3.js: It is a javascript library to manipulate documents using data. The major setback with D3 is you need to have basic knowledge of Javascript but nowadays there are several apps that allow a non-programmer to utilize the library.
  3. Google Charts: It is a free data visualization tool that helps in creating visualization online. These visualizations are dynamic in nature. It offers a wide variety of charts, maps, and graphs that can be customized completely.
  4. Power BI: It is Microsoft's platform for visualizing your data. The most special feature apart from connecting to various data sources is that you can also view your final report on your mobile device. It is more like an advanced excel with various options to visualize the data.
There are many more data visualization tools apart from these but these are the ones with which I have worked closely.

Data Visualization is coming into greater demand as every business is transforming into a data-driven one and in such an environment, you need the right tools for effective decision making. In the future, each profession will require to make its decision based on data.



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