Metrics

Metrics are rarely steady. If you are monitoring a number of orders or your global revenue, those numbers often vary with seasonal patterns. Your shops might be closed on Sunday, causing a scheduled drop in the figures or you may have a rise in sales during summer because you are a sunglasses-selling company. You might also not be sure what to expect.

For all those reasons, monitoring metrics with machine learning models makes sense. With Sifflet, you can:

• Metrics: Monitor a statistical transformation of a numerical field with dynamic thresholds.
• Custom Metrics: Write a SQL query to monitor a custom metric that is not stored in a table.
• Correlated Metrics: Compare two or more metrics to make sure they are aligned.