Page History
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Signal type | Related analysis group | Description |
Spikes & drops | Detected using the Outliers analysis | Sudden increases or decreases in the metric. For example, a lot of extra visits occurred on the product page of your website yesterday. |
Breakouts | Outliers | Successive increases (called Prolonged Spikes) or successive decreases (Prolonged Drops) in metric.For example, chocolate sales going up the entire week before Valentine’s day is a prolonged spike. |
Change in trend | Trend change | A trend line changes from up to down, or vice versa. For example, PC sales were growing but then started to decline last month. |
Change in volatility | Trend change | Volatility describes how much the value changes from one period to another. For example, the share price becomes very volatile after news that the trade deal was cancelled. |
Change in Total (one period to another) | Period comparison | Compares the total this week, month, quarter with another similar period - last week, month, this quarter last year. |
New lost attributes | Period comparison | Significant attributes that entered or left the data this period. For example, a customer that bought every month stopped buying this month. |
Section Guide
- Getting started - See our tips on setting up and enabling Yellowfin Signals.
- Workflow overview - Get an idea of the Signals workflow.
- Configuring a Signals analysis - covers all the steps required to configure a Signals analysis job.
- Locating Signals - The system sends relevant Signals directly to your Timeline, but you can also view and interact with all the Signals that were generated via the Signals list.
- Exploring and understanding Signals - This section covers the main Signals page and how to understand the insights detected.
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