Anomaly Detection "Create Dataset Option Doesn't Work"

I’m setting up a dashboard to set up anomaly detection for Incoming applications.

The goal is to show unusual spikes for fraud team to investigate.

However, one of the features I would like is to be able to show a historical list of Anomalies via a table.

There is a checkbox in the anomaly detection configuration labeled:

“Create a dataset of my latest anomaly results and add it to my analysis. This is useful for Creating Custom Visuals”

As far as I can tell this checkbox does nothing. It simply doesn’t work. It doesn’t create a dataset and doesn’t add it to my analysis.

Any ideas why?

It also seems like this option does not exist in the documentation at all.

Just bumping this to see if anyone has a solution. Thank you!

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.

Hi @TRube,

Following up here as it’s been awhile since we last heard from you on this thread; did you have any additional questions regarding your initial post?

If we do not hear back within the next 3 business days, I’ll close out this topic.

Thank you

Hi @TRube,

Since we have not heard back, I’ll go ahead and close out this topic. However, if you have any additional questions, feel free to create a new post in the community.

Thank you