DatabricksMaggie Li, Mohit HingoraniTutorial
Design Beautiful Dashboards in AI/BI
Summary
This guide presents dashboard design as a way to apply brand identity consistently while helping viewers interpret business data and trust the result. It recommends choosing a 3-, 4-, or 6-column subdivision of AI/BI’s 12-column grid according to audience needs, then using F- or Z-pattern hierarchy and unequal widget sizes to prioritize information. The visual system combines readable sans-serif or local fonts, high-contrast text, neutral backgrounds, a 60-30-10 color allocation, and distinct interactive and visualization palettes. For the Wanderbricks example, the final five-color palette is #15AFDD, #2375A8, #52A870, #C85070, and #C89930, tested in light and dark modes and with color-blindness simulations; workspace themes extend the resulting styling across dashboards.
Context
Dashboard authors need cohesive, on-brand experiences that make data understandable and present a trustworthy, professional appearance to decision makers and external partners.
Approach / What changed
The guide builds a custom Wanderbricks dashboard theme through layout hierarchy, font selection, UI color definition, and visualization palette design. It uses AI/BI’s grid, local font support, light and dark mode settings, workspace themes, and accessibility checks to apply the resulting design consistently.
Takeaways
Executive dashboards can use three columns to reduce cognitive load, while dense technical dashboards can use six columns to fit more widgets into view.
AI/BI supports local fonts; the guide uses Space Grotesk and recommends checking text/background contrast with an accessibility tool.
The visualization palette uses five colors and is checked in light and dark modes with Adobe Color simulations for Deuteranopia, Protanopia, and Tritanopia.
Source and freshness
- Source
- databricks.com
- Published
- Added to Yomu
- Last updated
Summaries are generated from the original by a language model. Check the original before relying on it.
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