Process optimization

What it does

• Recommends recipe parameter changes that lift yield
• Quantifies the expected gain and the risk of each change
• Tracks whether the change held after deployment

How it works

1. 1Models yield against process parameters
2. 2Ranks candidate adjustments by expected lift
3. 3Monitors the post-change cohort

Works with

• Snowflake
• Databricks
• Tableau