Data Analytics: Foundations to Practice · Data Visualization Principles
Designing Effective Dashboards
A dashboard packed with every available metric is not more useful than a focused one; it's typically less useful, since it forces the viewer to do the prioritization work the dashboard itself should have done. This chapter covers what makes a dashboard genuinely effective.
A dashboard consolidates multiple related metrics and visualizations into a single view, typically intended for ongoing, repeated monitoring rather than a one-time analysis, and its effectiveness depends on genuinely thoughtful curation and organization, not simply on including as many available metrics and charts as technically possible on a single screen.
Key Takeaways
- A dashboard consolidates related metrics for ongoing monitoring; its effectiveness depends on curation and organization, not maximum metric inclusion.
- An overloaded dashboard shifts prioritization work onto the viewer; a focused dashboard with fewer well-chosen metrics is often more genuinely useful.
- Effective design uses visual hierarchy, positioning important metrics prominently and grouping related metrics spatially together.
- Dashboards should be designed around the specific audience's actual decisions; a single generic dashboard trying to serve very different audiences serves neither well.