This solution overview training for SAS Expected Credit Loss prepares members of your organization's project team to be effective and informed participants in the requirements development and solution design phases of your implementation. The course includes hands-on demonstrations and teaches you key concepts, terminology, and base functionality that are integral to SAS Expected Credit Loss. After completing the course, participants will be prepared to make key business decisions.
Learn how to
- Describe the role and use of each component of SAS Expected Credit Loss .
- Describe the process of calculating expected credit loss.
- Describe the required input data sets for each component.
- Leverage SAS Business Rules Manager to publish rule flows in support of data quality.
- Use SAS Model Implementation Platform to create the required objects in order to generate Expected Credit Loss output data sets.
- Leverage the content package and SAS Risk and Finance Workbench to orchestrate the monthly production cycle, including configuration of the required objects.
Who should attend
Anyone who will be involved in implementing and using SAS Expected Credit Loss, including team members from Finance or Accounting, Risk Management, and Model Execution or Deployment, as well as solution administrators and IT associates
Formats available | Standard duration | | |
Classroom: |
1.5 days | | |
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There are no prerequisites for this course.
This course addresses SAS Expected Credit Loss software.
