In recent weeks, 10h11 has been able to experiment with new ways of representing data with the La Poste Group’s brand management.
Our challenge was to create a dynamic datavisualization to bring out potential steering and communication tools. This work was based on the experimentation of new visual uses of data in order to facilitate and optimize the understanding of data. 10h11 had at its disposal the La Poste Group’s media investment data over 3 years on all its brands.
The 10h11 challenge was to visualize a large amount of data on a single representation, while being able to generate a desire to read and thus create a new user experience through different communication media.
3 steps for a tailor-made project
The first step consists in analyzing the data and needs of the Laposte group in order to define the communication, identity and usage objectives of the data. This step is essential to create a datavizualization project.
2 / Designing
In order to best meet the defined needs, the 10h11 teams set up a second phase, a design phase. By making preparatory sketches of the data-notification, the team was able to anticipate the visual behaviour of the data. These experiments were carried out on a circular grid in order to create a dynamic reading direction.
3 / Create
The data-notification is based on an abstract representation of the symbolism of the “sun”, a pillar of the LaPoste group’s identity. Divided into three parts for one entry per year, it also allows different levels of reading to facilitate understanding of the data, from the most general to the most accurate.
10h11 proposed to visualize the information with a focus on media investments by brand. This new visualization entry allowed a new optimized reading for a quick comparison of the evolution of investments.
An interactive user thought datavisualization
The challenge then made it possible to imagine a user experience of datavisualization through an interface, to move from a printed to a digital medium.
The interactive version of the dataviz allows you to adjust the dataviz by applying filters and choosing the entry points in order to extract as much information as possible visually. Interactive allows here to adapt the visualization to the different data and thus to move from a circular visualization, for the processing of mass data, to a horizontal visualization for more specific data.
This challenge was the opportunity to explore datavisualization with a transversal and multi-channel communication approach.
For reasons of confidentiality, the data have been modified