Optimize Your Workbook — Without the Guesswork
The Optimization Guessing Game
“I followed every best practice blog post — switched to extracts, reduced marks, simplified calculations. Still slow. What am I missing?”
“My boss wants this dashboard to load in under 10 seconds for 500 users on Tableau Server. I have no idea if that’s even possible with this data model.”
“Every optimization suggestion I find online is too generic. ‘Use context filters’ — where? On which sheet? For which data source?”
Why Generic Optimization Advice Falls Short
Performance optimization in Tableau is context-dependent. A context filter improves performance when it dramatically reduces the result set — but hurts performance when the filtered set is still large. Extracts are faster than live connections unless your extract is billions of rows. Calculation optimization depends on whether your formulas can be pushed to the database engine.
The right optimization strategy depends on your specific data sources, data volumes, calculation complexity, filter configurations, and deployment environment. A checklist can’t account for all of these variables — but AI with full workbook context can.
How VizWhiz Builds a Custom Optimization Plan
Drop your workbook and ask “How do I make this faster?” VizWhiz analyzes your specific structure and recommends changes ranked by likely impact.
- Identifies string calculations, CONTAINS functions, and other patterns that prevent query push-down
- Spots data source configurations where extracts or materialized views would help
- Finds unnecessary joins, unused fields, and over-complex relationships
- Recommends filter type changes (context, data source, extract) specific to your sheets