At this step, you need to define datasets. This will determine where the modeling data should be stored when the attribution model configuration is activated.
1. Define the Google Cloud Platform project
Select the Google Cloud Platform project where the Google Analytics export is located and where all output data related to this attribution model will be stored. This is a required field.
Simply choose the relevant project from the dropdown list:
Keep in mind that the GCP project needs to be connected to Alvie beforehand. You can learn more about how to connect a new data source to Alvie here.
2. Define the BigQuery dataset for the model.
Specify the BigQuery dataset where the output data of the model will be stored.
If you have already created the dataset, simply enter its name. If this is a new dataset, provide a name in this field, and it will be automatically created within the identified GCP project. This is a required field.
3. Advanced settings
Advanced settings are optional. If you want to store data for Connectors separately from the attribution model output data, you can specify a different dataset for that here. If you leave this field empty, the model BigQuery dataset will be used.
