Technical information & FAQ

Technical Information:

The Anomaly Detection & Prediction models are inhouse, custom-built data science models founded on an hybridation of timeseries decomposition models and clustering methods. The basic models have been tweaked, improved using millions of data points, and adapted to web analytics data.

FAQ:

Does the model compensate for known events such as Christmas or Black Friday?
The Anomaly Detection & Prediction models do not adapt for known recurrent events such as Christmas or Black Friday. Therefore, fluctuations in your data taking place on those dates will be treated similarly to fluctuations on any other day.

The trend doesn’t seem to fit my data properly, is this normal?
The trend reflects macro fluctuations in your data. It is possible your analysis timeframe is too small to show long term fluctuations in your dataset. Due to this phenomenon the trend can appear to be distant from the rest of your data. By increasing your analysis timeframe you will see the trend illustrates macro fluctuations in your data.

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