Information design organizes and shapes data to make it understandable: transforming a mass of figures, texts, or content into something that can be easily read, understood, and put to work.
Richard Saul Wurman coined the term “information architecture” in 1976, starting from a key insight: we are drowning in data yet starving for meaning. Edward Tufte, for his part, established the foundational principles of visualization: maximizing the “data-ink ratio,” eliminating fluff, and never distorting the truth. Great information design makes a structure visible that was previously hidden in the noise.
The transition from raw data to meaning is never neutral. Choosing a scale, a grouping, or an order is already an act of interpretation, and therefore of guidance. The exact same data can produce entirely opposite narratives depending on how it is presented—what Tufte calls, in extreme cases, graphical distortion. Information design carries a powerful responsibility: it can illuminate or manipulate using the exact same numbers. Clarifying without betraying is a true craft, not a given.
Today's pitfall is the opposite of scarcity: decorated info-obesity. We see saturated dashboards and spectacular “datavisualizations” that look impressive without actually informing. The beauty of a graph is neither a guarantee of its truth, nor of its utility.
Our driving principle: well-designed information empowers decisions, not just demonstrations. We always seek the simplest form that conveys the truth, embracing our design choices rather than hiding them. Bringing meaning to life means making data actionable without ever compromising its integrity.
What's happening elsewhere: data-driven design, insights, cognition and cognitive load, attention, and UI.
References: R. S. Wurman, “information architecture” (1976); E. Tufte, principles of data visualization.
Rémi
Gréau
Director of Design
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