OutlierExplain

Attribute root causes to detected outliers with dimensional drill-down

Data & AnalyticsPaid

OutlierExplain automatically investigates detected anomalies by drilling down through dimensional hierarchies to identify which specific dimension values are responsible for the deviation. When a metric spikes, the tool decomposes the change by segment — geography, platform, user type, product line — to pinpoint that the spike is driven by, for example, Android users in Brazil rather than a global shift. Analytics teams use it to go from alert to root cause in minutes instead of hours of manual slice-and-dice investigation.

Key Features

• ✓Dimensional drill-down
• ✓Segment decomposition
• ✓Automated investigation
• ✓Root cause ranking
• ✓Alert integration