Everyday DataBIZ

How one type of visualization could help your business.

When thinking visually, there are a few things you must ask yourself. First, are you trying to find information that is data-driven or is it conceptual? Next, you must ask if the information is going to be declarative or explorative? If the information is declarative, it is going to be something that makes more of a statement and is mostly used in formal settings while exploratory information is going to be to test a hypothesis or to figure out what exactly you are even looking for. Of the four types of visual communication—idea illustration, idea generation, everyday dataviz, and visual discovery—the one that could be most easily used to communicate to the audience is everyday dataviz.

Everyday Dataviz

Everyday dataviz is the type of visualization that makes a statement and is data-driven. These are two key aspects when trying to communicate something to your audience because you want it to be important and you want it to be accurate. This type of visualization “comprises the basic charts and graphs you normally paste from a spreadsheet into a presentation,” explains Scott Berinato. Some examples of what kind of charts are used in everyday dataviz are the basic line charts, bar charts, etc.

How It Could Be Used

This type of visualization is mainly known for being simple, clear, and consistent. This is important when trying to communicate something to your audience because the chance is they will not be looking at what is showing them this information for a long period of time, so they need to look at it and understand it right away. As Berinato outlines, “In general, when it takes more than a few seconds to digest the data in a chart, the chart will work better on paper or on a personal-device screen, for someone who’s not expected to listen to a presentation while trying to take in so much information.” This is also used a lot in companies themselves when trying to communicate the need for doing something or changing something that has been running and needing to do it quickly. Unlike visual discovery, you need a chart/graph that has straightforward results and answers to the hypothesis, or the issue being faced.


When looking at the two charts above, the one on the right exemplifies everyday dataviz while the other is most likely visual exploration. It is much easier and quicker to read the chart on the right compared to the one on the left. Therefore, it would be so much easier and effective to use everyday dataviz. Your customer does not want to have to look at charts and graphs that make their heads hurt; they want to look at something that will tell them exactly what they want to know as soon as possible.

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