ZEISS Brand Portal
ZEISS Brand Portal
Data visualizationBasics

Before you start designing, define the visualization’s purpose and the message you want to send.

  • Keep your chart clean by focusing on the main message you want to communicate.

  • Use only essential elements and as few colors as possible.

  • Add details only to highlight key information or enhance emotional impact.

  • Use light and shadow when they add value.

  • Use contrast in line thickness deliberately.

Framework

The conceptual framework gives you the flexibility you need within clear guardrails.

Expressive conveys a core message instantly, without lengthy interpretation.

Functional supports charts requiring more granularity, and analytical rigor.

Minimal offers a clear, clean aesthetic that allows the data to stand on its own.

Detailed uses additional labels, textures, and effects to convey more information.

Data visualization – Basics – Framework
Design elements

Design elements are applied with intention, not based on strict rules. Patterns, strokes, and thick/thin shapes can be used differently depending on the data and context. Some elements fit certain types of data better than others.

Chart elements follow the same principle: These can be adapted to your needs while remaining consistent with the overall design.

Data visualization – High contrast
High contrast

The interplay between bold surfaces and fine lines creates a distinctive, precise look.

Data visualization – Typography
Typography

Our ZEISS Typeface further differentiates our data visualizations.

Data visualization – Colors
Colors

A clear, limited use of brand colors makes our data visualizations distinct. Add additional colors only if they help users grasp the data more quickly.

Data visualization – Outer glow
Outer glow

Used sparingly, subtle glow effects enhance dimensionality while keeping the design balanced and refined.

Data visualization – Inner glow
Inner glow

This is an alternative to outer glow effects and is easier to implement in certain tools such as PowerPoint or Power BI.

Data visualization – End strokes
End strokes

These create a distinctive look across touchpoints and underline precision.

Data visualization – Grid layout
Grid layout

The grid should be used whenever the tools allow.

Grid layout

The grid provides a consistent structure for all charts. It ensures alignment, rhythm, and a clear hierarchy across different charts.

Titles and explanatory text are always positioned at the top left and data legends at the bottom left. This makes the charts easy to read and provides predictable reference points.

Data visualization – Basics – Grid layout
Chart elements

A consistent chart structure makes charts recognizable and easy to understand.

Data visualization – Basics – Chart elements
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