Using High Level Dataset

You must add a high level dataset to begin a scenario pipeline.

To add a High Level Dataset (HLD) and begin a scenario pipeline, follow these steps:

1. Navigate to the Pipeline Designer page.
2. Click Widgetson the upper left corner. The list of pre-configured HLDs is displayed. FCCM TM Cloud Service comes with the following pre-configured High Level Datasets (HLD).
   • External Entity Transaction
   • Transaction by Customer
   • Transaction by Account
   • Insurance Policies by Customer
   • Loans by Account
   • Loans by Customer
3. Drag and drop the required HLD to the designer pane.
4. Hover on the HLD widget and click Edit . A dialog box is displayed.
5. Add filters by clicking to view the list of Filters available for this HLD and select the necessary filters. All filters that are available for use in the HLD can be found in the List of filters. You can select any of these filters to be used in the scenario.
6. Configure the filter in one of the following ways:
   • Use the drop-down list to select the values on which to filter.
   • Create a Runtime Parameter to pass values into the filter. Click Add and specifiy the required details. For more information about how to create runtime parameters, see Creating Runtime Parameters.

     For more information about how to configure filters, see Configuring Filters.

   Note:

   The following filters must be configured by creating a runtime parameter.

   • NAICS Code
   • Occupation Name
   • Include PEP: Set the value as either = 'Y' or = 'N'.

   Note:

   For the Transaction Code filter, in addition to using the runtime parameter configuration, you can also upload a list of values specific to your business requirements. Follow the steps provided in Upload Data into Object Storage to provide the client-specific values using the dimension table template, and then run the AMLTransactionSourcesDataLoad batch to load the filter values into the UI. When providing values, the following special characters are allowed: ( ) - _ | [ ] : /#
7. Click Save to save the changes. The HLD is saved.

   You can perform certain tasks that are common in all the widgets, such as edit, delete, filter, and so on. For more information, see Common Tasks.

   Add Additional High Level Dataset Filter Conditions

   You can add multiple filter conditions within the dataset to be considered by the scenario when detecting behaviors of interest. This can help improve the accuracy of your detection results and reduce false positives. For more information, see Adding Additional High Level Dataset Filter Conditions.