The massive amount of data in our workplaces and in our daily lives creates new challenges: how can we make data easy to understand and use in a meaningful way? We work to provide solutions to these challenges. We imagine, design, develop and implement new ways of interaction between humans and data.
Understand needs and anticipate new trends in data usage.
Look for fresh product and service ideas to bring value to data.
Understand the data requirements of your users
Discover useful information that can be extracted from your data
Understand how different datasets can be tailored for different audiences
Translation of data to information
Prioritization of needs
Use cases definition
Tool - Groupe RATP
Model and visualize millions of public transport journeys to better match transport services with demand.
Design data-rich products and services that maximize user friendliness and audience engagement,
while at the same time respecting technical constraints.
Develop an intuitive user interface for data-rich products
Ensure users with little or no expertise can manage complex data
Improve the usability and relevance of your data management interfaces
Conception and design with real data
Interaction and information design
Interface and product design
Tool - Bloom
Facilitate the use and understanding of algorithms for analyzing conversations on social media.
Experiment and innovate with data.
Use the creative and artistic potential of data to bring humans and data closer together.
Make the information contained in your data visible
Demonstrate the value of your data
Explore new concepts in data usage
Explore ‘big data’
Prototyping with real data
Prototype - Michelin DDI
Highlighting how data from 50,000 connected drivers can contribute to improving road infrastructure.
Create interfaces that help understand and use data.
Use advanced visualization techniques to uncover information hidden in large volumes of data.
Present your data in a clear and attractive fashion
Provide memorable information experiences based on data
Make complex information accessible to large audiences
Design and develop customized data visualization
Develop interactive experiences
Present complex information in accessible ways
Data and algorithm education
Creative installation - EDF R&D
Use an educational simulator to highlight the importance of energy flexibility.
Create analysis and decision making support tools to make data useful across industries and trades.
Provide accessible tools that make it possible for everyone—regardless of technical ability—to work with data.
Make large quantities of data both intelligible and actionable
Allow all skill sets to be able to work with large volumes of data
Use data to help make more informed decisions
Change habits and ways of working with data
Create business interfaces for big data
Design and develop business tools to exploit data
Respond to the needs of businesses in terms of data
Manage the whole design lifecycle for new tools
Collaborate with internal technical teams within organizations
Development in agile methods
Application - ENS-Lyon/CNRS, Sony CSL, Inria
Enhancing the diagnostics of crop development by speeding up the verification of their measurements.
Recommend strategies to maximize the value of data.
Transform ways of working with data and devise new ways of using it.
Ensure your organization is empowered to exploit data
Identify new sources of value that are related to data
Prepare a roadmap to maximize the use of data
Define strong and clear metrics
Define risk and new opportunities
Map available data
Frame data-rich projects
Prepare action plans to maximize the value of data
Provide data curation and education workshops
Prototype - Swisscom Mobility Insights
Conveying the value of Swisscom’s mobility data to better understand urban mobility.