High-Risk Country Association
Table of Contents
Use Case:
Organizations must closely monitor transactions linked to high-risk countries to mitigate potential compliance issues related to corruption, regulatory violations, or other concerns. Transactions associated with such countries pose heightened risks.
The High-Risk Country Association analytic is a list-based analytic, where organizations designate countries as weak, moderate, or high risk based on their own criteria, such as political instability, corruption levels, or financial sanctions. The system then checks the relevant transaction location attribute against this list, using configurable country fields for inclusion.
| Description | Identifies high-risk transactions based upon a location attribute of the transaction. The default locations reviewed are expense country and customer country. |
| Domain(s) | Customer Revenue |
| Analysis Type | Flag |
| Focus Area | Location |
| Score Methodology | The associated risk for the country. |
Default Scoring Criteria
Importance: 4 (default)
Enabled: True (default)
Unique Configuration
Available dimensions:
- Payer Customer Country (the country of the customer responsible for paying the invoice)
- Sold-To Customer Country (the country of the customer purchasing the goods or services and contractually responsible for the sales order)
- Destination Country (per billing detail) (the country where the goods are delivered, based on the billing details for the transaction)
- Customer Bank Country (the country of any bank account associated with the customer responsible for payment)
- Associated Vendor Country (per ID linkage) (the country of any vendor formally linked to the customer through identification relationships defined in the customer master data)
- Customer Item Partner - Ship-To Country (the country of any Ship-To partner associated with the customer item transaction)
- Customer Item Partner - End Recipient Country (the country of any End Recipient partner associated with the customer item transaction)
Exclusions
None