5.6 Customer Risk Scoring

This section explains about Customer Risk Scoring use case.

Prerequisites

Before creating the sandbox workspace, the user should follow these steps:

1. Create the Tablespace
2. Create the Sandbox Schema
3. Assign Grants to the Sandbox Schema
4. Create a new data store for the sandbox schema
5. Register Conda Environment in BD Production Workspace

To create tablespace, sandbox schema and assign grants to sandbox schema, see the OFS Compliance Studio Installation Guide.

To create the data store, see How to Create Data Store section.

To register Conda Environment in BD Production Workspace, see How to Register Conda Environment in BD Production Workspace section.

• Creating Sandbox Workspace
  
• Populating Sandbox Workspace
  
• Importing Workspace Metadata
  
• Obtaining SAR Labels for Customer Risk Scoring
  
• Obtain SAR information for Production
  Disposition/SAR information of the production alerts sent for investigations that are required for model validations to see the deployed model is performing well in the production or model is deteriorating.
• Data Movement
  The Customer Risk Scoring use case make use of time series data and time series length can go up to six months to one year. When model is freshly deployed to production, given production may not have enough history of time series data; hence data movement from sandbox to production is required.
• Batch Framework for Customer Risk Scoring
  
• Execute Batch
  
• Monitor Batch
  
• ECM Connector Batch