The Top 10 Best Practices for AI/BI Dashboards Performance Optimization (Part 1)

Dashboard performance depends on optimizing four layers: dashboard design, warehouse configuration, caching strategy, and data layout. Key techniques include using multi-page layouts to reduce query fan-out, setting smart filter defaults to improve first paint time, leveraging parameters over field filters for better predicate pushdown, maximizing browser and result cache hits through deterministic queries and shared datasets, and scheduling dashboard refreshes to pre-populate caches. Browser caching works for datasets under 100K rows, while Databricks SQL result caching (local and remote) can serve repeated queries instantly when query signatures match and execution context is shared.