Overview
Read this article from a comprehensive knowledge base, updated and supplemented with articles reviewed by scientific committees.
Read the articleAUTHOR
-
Véronique MESGUICH: Strategic intelligence consultant and trainer
INTRODUCTION
The aim of information visualization is to "make data talk": to extract intelligence useful for decision-making, to detect trends, to verify hypotheses, or quite simply to make data clearer and more readable, thanks to a genuine data scenography.
Information visualization has been democratized in recent years, but it's important to distinguish between simple, intuitive computer graphics solutions, and often complex data visualization software. It's also important to choose the representation models that are best suited to your needs.
This fact sheet will help you find your way through the multitude of tools available, and make the right choices to suit your needs and budget.
The Ultimate Scientific and Technical Reference
This article is included in
Management and innovation engineering
This offer includes:
Knowledge Base
Updated and enriched with articles validated by our scientific committees
Services
A set of exclusive tools to complement the resources
Practical Path
Operational and didactic, to guarantee the acquisition of transversal skills
Doc & Quiz
Interactive articles with quizzes, for constructive reading
Visualization tools (cartography, mapping, etc.)
Choose the type of visual representation best suited to your needs and uses
Bibliography
Also in our database
Bibliography
McCandless D., Information is Beautiful . Collins, 2009.
Few S., Now you see it . 2nd edition, Analytics Press, 2021.
Lagnel J.M., Manuel de datavisualisation : méthodes – case pratiques . 2nd edition, Dunod, 2021.
The Ultimate Scientific and Technical Reference
