Data visualization is a tool to understand the meaning of information and to better communicate it. It facilitates the reading of data by presenting it in the form of images, graphs, pictograms, and maps. Visualization is more often a component of some data analyst or data scientist roles. In general, a data visualization expert needs a degree in a field that develops his or her analytical skills, such as mathematics, statistics, and computer science. Thus, the dataviz, attached to a company, is able to exploit the data and put it in a more simplified context of visualization to explore its meaning and impacts.

The main role of the dataviz is to find the clearest possible graphical representation of the data in order to have an optimal access to the understanding of analytical data. This is achieved, in particular, through the design of KPI dashboards, which are generators of meaning. They can be made up of different graphs, diagrams or cartographies. Then, dataviz facilitates relational exchanges between collaborators, which are crucial communication tools in data science. It thus transforms complex raw data into aesthetic, easy-to-study documents. Finally, it refines assets based on feedback, ensuring continuity of accuracy and functionality.

Mastering the art of data visualization requires perfect knowledge of specific technological tools. A good dataviz must have a critical mind, able to examine numbers, trends, data, and draw new conclusions based on the results. Then, attention to detail, the ability to work with large amounts of information, and communication skills are the strengths of a good dataviz. Finally, as for cognitive sciences, such as perception or psychology, it must have a good basis for identifying the most effective method for communicating information. The data driven approach allows the business leader to make quick strategic decisions within his company.

Data visualization appears as an excellent way to communicate, argue and understand or make understood in a company. Thus, it leads the company to compare its position in relation to the sector in which it is located in order to define its specificities with regard to its products, its sales as well as the preferences of its customers. Thanks to it, the company will know its customers better and will be able to better target its commercial actions in order to always improve the customer experience. In short, to activate the levers of marketing as well as management, data visualization is an indispensable tool for the company.