A dashboard loads more components than expected. Which step should be taken to correct this issue?

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Limiting what data is loaded is key to ensuring a dashboard doesn’t render more components than needed. If a dashboard pulls a broad dataset or includes many fields, every visualization may try to render, leading to more components showing up than expected. By applying filters to include only the information you actually need (such as a specific time period, region, or category), you constrain the data that each component uses. This often reduces the number of visuals that are relevant and therefore loaded on the dashboard, so you see only the essential components and improve performance.

Other steps can help diagnose or speed things up, like checking refresh settings, reviewing logs, or investigating network conditions, but they don’t directly address why extra components appear. Filtering focuses the data scope, which is the most effective way to correct the issue.