Power BI
Power BI Performance Tuning: A Consultant's Checklist
Improve Power BI report speed with semantic model optimization, DAX patterns, visual reduction, and aggregation strategies.
Slow Power BI reports usually trace back to the semantic model, not the visuals alone. Start with VertiPaq Analyzer or DAX Studio to measure model size, cardinality, and expensive measures.
Reduce high-cardinality columns in import models, prefer star schemas over wide tables, and push heavy transformations upstream to SQL or Fabric pipelines.
Replace iterative DAX with variables and avoid FILTER on entire fact tables when CALCULATE with proper filter arguments suffices. Use aggregation tables for large historical facts queried at monthly or weekly grain.
On the report canvas, limit slicer counts, avoid too many visuals on one page, and use drill-through instead of over-filtering. For DirectQuery, index and partition source tables and minimize relationship cardinality.
ANSI Analytics offers performance audits that typically cut load times by 40–70% without rebuilding from scratch.