Data visualization in technology
Posted by Lisa Williams on January 15th, 2021
When it comes to the comprehensiveness of information, there cannot be any comparison to visual representation. The human brain responds to the visual representation of any data, theory, or even abstract idea actively and instantly. This is the reason why scholars have been polishing the art of data visualization over centuries and have been successful in devising several tools to do so.
Today we have graphs, charts, maps, etc. to represent data in academics, science, business analysis, marketing, and even in our daily life. However, it would be wrong to assume that the tools which are already in use are adequate to represent all kinds and volumes of data. Sometimes, data visualizers might need to combine two or more data visualization tools to represent a particular piece of information in the right way. Sometimes, the data visualizers might need to think of a completely new tool to represent the data that would appeal to the audience the most. This compulsion to work upon new data visualization techniques is increasing day by day as the volume of relevant data has increased in almost every sphere of our lives.
Let us take the banking industry as an example. Due to the digitalization of the banking industry, the analysts responsible for assisting business decision making for the banks have started dealing with large volumes of complex data. So, to make their job easy, they take the help of innovative data visualizing techniques. Nonetheless, this technique is useful only when it has the following characteristics.
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About the AuthorLisa Williams
Joined: March 14th, 2019
Articles Posted: 42
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