Data Visualization - Example

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While this is a great thing to have, it also requires a way to classify, understand and explain the data so that it makes sense to both data controllers and decision makers.

Machine learning allows you to accumulate data, but you need visualization to make it understandable.

Think of the number of internal projects that require data analysis: employee performance, production plant performance, stock control, sales, customer relations, customer service, deliveries, orders...

Everything can be controlled and everything generates data, but israel mobile database without proper visualization, all this analysis would be useless.

Many of the tools used at the corporate level offer reports that include graphs and maps, as well as diagrams of all kinds.

Software companies are making huge efforts to present information in the simplest possible way to facilitate quick decision-making.

But beyond software tools, employees must also make presentations to their superiors, companies must present annual reports, sales results to their shareholders, as well as many other materials that include data visualizations.


Types of charts you can use
If you're already clear that data visualization is important to you and your message, you may be wondering how you can improve your presentations or reports.

Before tools like the ones we will see in this article appeared, Power Point and spreadsheets were the standard.

The data was taken and transformed into a bar graph, a pie chart, or a more or less ugly table, and that was it.