Salesforce Anomaly Detection Using Anomaly.io

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detect anomalies in salesforce

Monitoring Key Performance Indicators (KPIs) is essential to running a successful business. As one example, you should examine your lead generation KPI several times a day, to allow you to detect and correct problems as quickly as possible.

But you’re busyyou don’t have time to watch KPI indicators all day long. That’s where Anomaly.io comes in. By combining our detection algorithms with your Salesforce data, you can automatically detect problems and notify the appropriate personnel to ensure that speedy corrective action is taken.

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Detecting Anomalies in Correlated Time Series

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anomaly in time series correlation

Monitoring key performance indicators (KPIs), sales or any other product data means working within an ecosystem where very often you will see metrics correlating with each other. When a normal correlation between two metrics is broken, we have reason to suspect something strange is happening.

As an example, take a look at anomaly.io analytics during its early days (a long time ago). In the graphic above, the new users are shown in green and the returning users in red. Clearly, something strange happens in the middle of November. Let’s use some techniques to find out more!
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Moving Median is Robust to Anomalies

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moving-median

It can be difficult to detect the underlying trend of a time series in the presence of anomalies, due to unwanted noise. Fortunately, there are techniques to take into account those anomalies, so you can work with this kind of time series. One of them is the moving median.

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