Autothresholds
Stay on alert of the smallest deviations
But then, we do know that data is continuously evolving. Hence, we cannot treat all data in the same way.
We need to define the baseline (or threshold) for them. digna's self-adjusting thresholds work on all kinds of data streams, regardless of how stable or volatile they are.
The result is that you can anticipate changing conditions, with room for even more deviation between calculated and predicted values of your business metrics.
