Espace client

What methodology should be used to make dataviz ?

We have found that more and more companies are interested in working with their data and have realized that data-reporting can help them produce a more understandable and accessible experience. However, when they start thinking about this internally, many questions emerge: which dataset should I use? How can I innovate in visual rendering? Should I choose an existing solution or design a custom tool ?

We have found that more and more companies are interested in working with their data and have realized that data-reporting can help them produce a more understandable and accessible experience.

However, when they start thinking about this internally, many questions emerge: which dataset should I use? How can I innovate in visual rendering? Should I choose an existing solution or design a custom tool?

The 10h11 team is confronted with these issues on a daily basis. To answer this question, we decided to build a working methodology to help companies structure their thinking around data.

The double diamond

Focus on service and ergonomics

Data visualization is a know-how that requires a personalized service design as well as a user experience in line with the specificities of data sets.

Service design is the application of the approach and skills derived from design to service development, a practical and creative approach to improving existing services and creating new ones.

User experience design (UX design) is a new and radically different way of thinking about digital devices. It profoundly modifies the working methods, organization and skills of project teams. User experience design is a pragmatic, multidisciplinary, problem-solving and innovative approach.

The double diamond at the service of data

To build our methodology, we naturally relied on the principle of the double diamond.

 

The principle of the “Double Diamond” was developed at the Design Council (United Kingdom) in 2005 as a simple graphic means of describing the design process. Divided into four distinct stages (discovery, definition, creation and delivery), the diagram highlights the different ways of thinking that designers use.

 

Adapted to the data processing problem, the diagram becomes a practical guide to consider designing a data visualization tool.

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ESPACE CLIENT