1/ The data are filter / parameter by table_id and the analysis is based on the fields (table_name, column_name, dq_name, dataset_date) and anomaly has to be detected in the field (dq_value) from a table imported as a dataset. The particular table_id is filter out using parameter. These are reflected to visuals but not to anomaly detection.
Tried another approach in which the parameter is applied to the Direct query but still its not supported by anomaly detection.
2/ When the filter / parameter is applied the anomaly is need to be run manually and while the analysis was published in dashboard it there is no option for trigger.
Hi @Kirthika , welcome to the QuickSight Community. Once the Analysis is published as a dashboard, you can schedule it to run automatically ( Step 6 in the documentation). You can configure the anomaly detection based on the above documentation. Are you looking to filter the dashboard and then run anomaly detection in real-time with the filtered parameters of the dashboard?
Hi @salim I have the same question. I’m looking to filter the dashboard and then run anomaly detection in real-time with the filtered parameters of the dashboard. Is that possible? I created parameter and set anomaly detection on top of it, but after i re-selected a different value in parameter and hit Run now in anomaly detection, the result didn’t change