Hi @TRube
Apologies for the delayed response!
Quick notifies you visually whenever it detects an anomaly, key drivers, or forecasting opportunities within your data. You can follow the guided prompts to easily set up anomaly detection or forecasting based on the data displayed in that visual.
Quick offers ML powered anomaly detection designed to help identify outliers and unusual trends within your datasets. This powerful feature enables teams to proactively investigate unexpected spikes or drops in activity, such as an increase in incoming applications.
However, regarding the option to create a dataset of my latest anomaly results, I could not find any official documentation confirming this functionality at this time.
Please refer to the below Quick documentations and learning videos this might be helpful for you.
