Technical Overview of SAS® Solution for IFRS 17 in SAS® Risk Stratum
RI17T : RI17T1
This course introduces technical users to the underlying activities involved in the tasks used in IFRS 17 production cycles. The course includes hands-on demonstrations, descriptions of data structure, and an overview of the underlying codes, and it teaches the logic behind the base functionality that is integral to SAS Solution for IFRS 17.
The self-study e-learning includes:
The self-study e-learning includes:
- Annotatable course notes in PDF format.
- Virtual lab time to practice.
Learn How To
- Describe the role and use of each component of SAS Solution for IFRS 17.
- Describe and understand main business objects in the solution.
- Explain the data structure required for the solution.
- Apply and generate business rule sets for data quality.
- Describe the underlying logic of the process involved in IFRS 17 calculations and report generation.
- Locate and describe key underlying codes for the tasks.
- Perform several tasks to generate IFRS 17 calculations and disclosure reports.
- Use SAS Visual Analytics to modify the structure of dashboards.
Who Should Attend
Technical users, including data analysts, solution architects, solution designers, system administrators, and any technical members of an organization's project team who will participate in the development and solution design phases for the implementation of SAS Solution for IFRS 17
Prerequisites
Participants should have the following:
- A basic-level familiarity of insurance industry terminology and the IFRS 17 standard for insurance contracts.
- Familiarity with SAS Solution for IFSR 17 in SAS Risk Stratum.
- Familiarity with SAS Infrastructure for Risk Management and SAS Risk Stratum.
SAS Products Covered
SAS Solution for IFRS 17;SAS Risk Stratum
Course Outline
SAS Solution for IFRS 17: Key Components
- Review of key components.
- Key business objects in SAS Risk Stratum.
- Overview of workflows and cycles.
- Steps in the IFRS 17 cycle.
- Initializing a cycle.
- Overview of script in the initialize cycle.
- Overview of script for data preparation
- Underlying IRM process.
- Overview of the data model.
- Structure of key tables.
- Database and federated area.
- Overview of key folders in federated area.
- Completing the data preparation task.
- Data quality rules.
- Overview of the script for data preparation.
- Overview of underlying IRM process involved.
- Running data quality.
- Data quality reports and review.
- Overview of SLAM.
- Discuss features of SLAM.
- Overview of SLAM Mart.
- Derive journal entries.
- Overview of script and IRM process.
- Review postings.
- Generate initial financial reports.
- Review trial balance.
- Finalize postings.
- Publish results.
- SAS Visual Analytics overview.
- Disclosure reports and other IFRS17 reports.
Live Class Schedule
Duration: 14 hours
Step into our live classes and experience a dynamic learning environment where you can ask questions, share ideas, and connect with your instructor and classmates. With on-demand lab hours, you can explore the material at your own pace. Our globally acclaimed instructors will motivate you to think bigger, so you can take what you've learned and achieve your biggest goals.
This course isn't publicly scheduled, but private training and coaching may be available. Contact us to explore options.
Private Training
Get training tailored specifically for your team, led by expert SAS instructors. Choose from virtual sessions, or training at your location (or ours). Perfect for teams seeking a customized curriculum and plenty of interaction with a SAS specialist. We'll schedule it at a time that works for you.
Coaching Services
Take your training to the next level with personalized coaching. While private training offers structured coursework, coaching provides hands-on, real-time support from a subject matter expert. As you work with your own data, you'll receive expert guidance to help you uncover insights, unlock the full potential of your data, and make faster progress. Perfect for those looking to apply what they’ve learned and see quicker results.