1.3 How this Guide is Organized

The Customer Screening User Guide includes the following chapters:

• Introduction provides an overview of Customer Screening and the architecture used.
• Getting Started explains common elements of the interface and how to configure the Financial Services Analytical Applications Customer Screening home page.
• General Configurations provides information on how to prepare watch list data, configure the different property files in Customer Screening, how to download the full and delta watch lists, how to filter watch list data, and how to configure General Data Protection Regulations (GDPR) for users.
• Integrations with Enterprise Case Management provides information on the different cases classes used for Customer Screening in Enterprise Case Management, view the correlation rules, what cases are linked to the case being investigated, and the workflows used for the different case types.
• Real-Time Screening shows the real-time user interface used for Customer Screening and how to run the real-time screening job using the Financial Data Crime Model (FCDM).
• Batch Screening provides information on how to prepare and analyze data and how to run the batch screening job using the Financial Data Crime Model (FCDM).
• OWS Migration provides information about migrating the existing Oracle Watchlist Screening (OWS) customer data to Oracle Financial Services Customer Screening (OFS CS).
• Simulation provides information about the user to test new configurations in a sandbox environment and compare the results with the existing set-up by integrating with the OFS Compliance Studio Application.
• ML Integration with Customer Screening provides information about the step-by-step instructions to integrate ML with customer screening.
• Appendix A: Screening Non-Latin Character Sets provides information on how to perform matching for non-Latin data.
• Appendix B: Risk Scoring Reference Data shows the different reference data tables used to calcu- late risk scores in Customer Screening.
• Appendix C: Preconfigured Watch List Information provides information on the different watch lists used in Customer Screening.
• Appendix D: Splitting Jobs Using Multiple EDQ Servers provides information on splitting jobs across multiple severs.
• Appendix E: Viewing Snapshots of Tables in EDQ provides information on the EDQ table UI.
• Appendix F: Configurations for the Bearer Token provides information on the Bearer Token con- figuration.
• Appendix G: Error Logs provides information on the types of failure encounters.
• Appendix H: Out Of Box process to move Alerts from CS_ALERTS of one DB instance to FCC_ZCS_ALERTS of another DB instance.
• Appendix I: API to create the Alerts in the Zipper Alerts table (FCC_ZCS_ALERTS) provides information on steps to configure system to create Zipper Alerts.
• Appendix J: PMF Configurations for Pool of Analyst provides information on PMF configuration.
• Appendix K: Invoking the PMF Workflow from backend provides information on invoking the PMF Workfkow from backend for the Alert.
• Appendix L: Mapping the PMF Workflow for Different Jurisdiction and domain provides information on the AAI_WF_APP_DEFINITION_MAP table in Config Schema stores the mapping of object type data to the Process Modeller Framework (PMF) workflow.
• Appendix M: User Group Customization provides information on User Group Customization.
• Appendix N: Adding New Alert Level Action and Standard Comments
• Appendix O: CS and ECM Table Mapping for Alert Status Customization
• Appendix P: Configurations Required to Open ECM Case or CSAM Alert from RT Screening if RT Screening and ECM/CSAM are in Different Servers
• Appendix Q: Function Codes for User Groups
• Appendix R: Setting the ZEPPELIN_INTERPETER_OUTPUT_ LIMIT in Python Interpreter
• Appendix S: API to Check the Status of EDQ Job
• Appendix T: CS Matching Batch Issue with EDQ Execution