Is Your Power BI Dashboard Slow? Here's How to Fix It

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1. Optimize Your Data Model

• Remove unnecessary columns and tables: Only import what's needed.
• Use appropriate data types (e.g., integers instead of strings).
• Reduce cardinality: Avoid columns with too many unique values (e.g., long text, timestamps).
• Avoid calculated columns in favor of Power Query or measures.

2. Use Import Mode Instead of DirectQuery

• Import mode caches data and allows much faster queries.
• Use DirectQuery only when real-time data is essential — and even then, optimize the underlying database.

3. Minimize Complex DAX Calculations

• Move logic to Power Query if possible.
• Avoid iterator functions (like SUMX) unless absolutely necessary.
• Pre-aggregate data when you can.

4. Limit the Use of High-Impact Visuals and Filters

• Avoid too many slicers and high-cardinality filters.
• Reduce the number of complex visuals (especially maps or tables with many rows).
• Use summary visuals and drill-through pages for detail instead.

5. Enable Performance Features

• Turn on “Performance Analyzer” to identify bottlenecks in visuals or queries.
• Use aggregations for large datasets.
• Enable query reduction settings in report options (e.g., disabling auto-apply filters).

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