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Dashboards for data visualization, explained in a simple way

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Data visualization dashboards, explained in a simple way

Today, dashboards for data visualization are a big unknown for many companies.  That is why in this article we tell you what dashboards are and how they can benefit your project.

If we look at history, the entities that have had more access to technology since the beginning have been the big institutions and the different entities of the government. With the advent of the desktop and personal computer, technology was also gradually introduced into homes.

Today, we live in a digitalized world, where technology is present at every point of our daily personal and professional lives. And the truth is that advances in information technology have an impact on all sectors. We are no longer talking only about televisions or computers, but also about telephones, social networks, apps, household appliances, etc.

Today’s devices store, transmit and manipulate data on a daily basis.

Data visualization dashboards

One of the main questions you should ask yourself is, what data is really important to me? What data brings a differential value to the project? Is there data that brings significant improvements for future business?

With all this in mind, one of the main difficulties we may encounter is the search for and interpretation of data. At this point it is important that you become familiar with the concept “data with meaning”, for this, you must use a tool that allows you to carry out data visualization boards.

What is the purpose of data visualization dashboards?

Its main objective is to extract the data needed for its compression. In this way, it is possible to move from the abstract to the concrete. This is how the data visualization boards are applied according to the need.

You can also apply the graphs to transmit the information

There are different ways of displaying a graphical representation of the data, so that it is prescriptive information for the user. They can be represented in formats:

  • Online: a comparison of two variables will be shown.
  • Columns: tremendously useful to compare magnitudes.
  • Circulars: they show how the data is distributed in different parts.
  • Spider: frequently used to show results.
  • Pyramid: normally used to show two factors simultaneously.

However, these are just a few examples of all the possibilities that exist when interpreting data. When making data display boards, it will be essential to follow the following procedures:

  • Search: that is, where the information is identified and where it is extracted from.
  • Interpretation: the data and what it communicates are analysed.
  • Visualization: seeking to simplify, standardize and understand the data.

That is, having a data visualization tool is important, but we will also need to have professionals who know how to collect, analyze and draw the necessary conclusions about that data.

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