Thanks to the information collected, analyzed, and visualized, trends, comparisons, and recommendations will emerge. The main objective of data visualization is to provide simplified access to large volumes of information. Want to know how to use data in strategic decision making within your company? Discover now our dedicated article by Dayo Aderibigbe, Product Operations Manager at Google.ĭata visualization and Business Intelligence: definitions, similarities, and differences

With data visualization, we try to understand this set of indicators and synthesize it to be able to see more clearly and establish strategic reports, in particular to simplify decision-making within companies. Data is very present in the fields of digital marketing, human resources, and digital activities in general. This is why we need to extract all this information to monitor the activities of companies (by calculating the turnover of a company for example, or the number of employees.). But as the volume of data to be processed increases so rapidly, compiling and analyzing so much information at a glance has become no longer possible. Talk about volumes! These days, numbers are churned out for nearly everything, from keeping track of management and billing systems to inventory. Only in the 2000's did computers prove themselves powerful enough to process far larger volumes of data.

Understanding and appreciating data visualization and business intelligence within companies' decision-making processes all began in the eighties, and we've witnessed the field's growth ever since. What's data visualization? What tools does it offer, and in what situations can they help us communicate? We tell you everything below! Data visualization tools

Best data visualization tools python