Data Experience (DX) is the art of making complex data come alive through interactive visual systems. As a specialist area of information design, we focus not only on presenting data, but also on transforming it into a dynamic experience. With the principle of «overview first, details on demand», we create intuitive navigation paths combined with aesthetic user interface design
What is Data Experience?
Data Experience (DX) goes beyond static data visualization by dramaturgically combining interactive navigation principles in a well thought-out sequence and position. Instead of thinking in terms of lists, tables or rigid diagrams, a visual space is created that invites independent exploration. The structure follows a clear dramaturgy: at the beginning there is an onboarding with an overview, then relevant details open up – exactly where they are needed.
The aim is to make connections visible and create orientation – not through simplification, but through targeted, visually organized structures. Users move through a system that is geared towards comprehensibility in terms of both function and design.
In contrast to BI tools, dashboards and data tools, which require precise prior knowledge, DX enables intuitive exploration in which users can visually navigate through narratives and discover connections.
Why is Data Experience important?
Many data-based systems fail not because of the technology, but because of the communication. Information remains abstract because it does not establish a connection to the user's world. Data Experience meets this challenge with a new form of knowledge transfer. This enables the contextual collection of data, whereby the respective user with the lowest level of knowledge on the given topic and technology serves as the starting point of the concept.
Especially in times of information overload, systems are needed that provide orientation and arouse curiosity. Data Experience motivates engagement because it replaces the search with a meaningful visual experience. It is not just about interactivity, but also about comprehensibility.
By also making the «unknown unknowns» accessible – in other words, aspects that no one would have searched for – data experience expands the scope of action. Those who understand how topics are connected can make better decisions. And anyone who recognizes that data also tells stories encounters them with more openness and interest.