If images have sometimes more weight than words to make a message clear (eg warnings on cigarette packets), it would be reductive to confine data visualization to a mere translator of complex data. Its contribution lies primarily in the conversations and interactions it generates and, more strategically in creating value it offers. Data visualization is the set of graphical representation techniques of numerical data, allowing to quickly grasp the fundamental attributes of that data. Given a badly formatted data is poorly exploited, let's make sure the data is clean. In a context of multiple sources and relentless increase in volume, data visualization is becoming increasingly important to ensure the relevance of the information transmitted. Are you ready for the challenge?

How to view the information has changed dramatically in recent years. Today, users are no longer satisfied with a predefined framework (spreadsheet or Business Intelligence static tool). They want instead to be able to navigate their data more easily, and it has become necessary for them to have access to summary information (such as a dashboard) but also to the detailed data.

Business intelligence tools must then provide a set of functionalities for the development of data, such as a rich graphical interactivity breaking the silence of a fixed data, or integration with geographic data. But the tool is not everything: the ergonomics of reports and other analytical applications become more than ever are a project task not to be underestimated.

The visualization of data has added complexity when it comes to deployment on mobile devices: this problem may cause different formatting of the data. A good solution is to combine the following points. Control technologies, knowledge of the major publishers in the market as well as specialists, and the ability to support customers in their data visualization problems, especially complemented by the expertise of the business group entities (definition a methodological framework, graphic design, ergonomics).

The number of graphs does not avoid drifting through the aesthetics at the expense of quality and clarity of the information produced. Sometimes it may be biased as it was noted in the field of computer graphics. The cosmetic appeal of 3D patterns and perspectives on the game fits into this same problem of objective representation of reality. The use of different forms of perspectives is part of the visual rhetoric often used by advertisers to give the illusion of control and data events. The topic of the graph does not matter. It could be population statistics, loans frequency or any scientific and non-scientific subject. Any type of data can be visualized under the same principles of optimum clarity. There is also a need to reflect on the importance of graphics through a return to the origins of cartography. It is not the end for the author to pretend to reinvent the wheel but rather to rely on the founding fathers of the discipline for a chance to be as creative one day.