Oracle Financial Services Credit Risk
Analytics (OFS CRA) Application Pack v8.1.2.9.0 CRA Release
Description
ID 38037515: OFS CRA Application Pack 8.1.2.9.0 Release.
The related documents are
available in OHC Documentation Library for OFS CRA.
Pre-installation Requirements
The following are
the prerequisites:
· Ensure your environment is compatible with
OFS CRA 8.1.2.9.0 system requirements.
What is New
The 8.1.2.9.0 release introduces
substantial enhancements to Oracle Financial Services Credit Risk Analytics,
expanding data granularity, reporting performance, and reporting capabilities.
Key updates include:
- Improved
Data Quality and Risk Insights: CRA 8.1.2.9 introduces enhanced
handling of null values across all materialized views (CRAMV01, CRAMV02,
CRAMV04, and FCT_CRA_AGG_SUMMARY_MV). The update includes advanced null score
processing for Max Origination Beacon Score Bands (HCRA0072) at the
application, account, and credit line levels. Additionally, date
hierarchies have been migrated to integer formats to boost query
performance. Together, these enhancements deliver more consistent and
reliable data, empowering business users to make better-informed credit
risk decisions.
- Strengthened
Risk Assessment and Alignment with other Regulatory applications: Key
updates in this release enhance risk measurement accuracy and ensure
alignment with OSFI regulatory standards. Write-off computation rules are
now applied at the credit line level, supported by improved flag
population at the account level. High-risk indicator logic has been
enhanced to incorporate Loan-to-Value (LTV) band dimensions for more
accurate risk evaluation. Additionally, key contractual fields—such as
loan terms and amortization months—have been standardized to match OSFI
definitions, reinforcing regulatory compliance across applications.
- Expanded
Reporting Capabilities: New business metrics offer deeper
insights into portfolio performance, including End of Contract Principal
Repayment amounts (QTD/YTD) for enhanced visibility into repayment
behavior and cash flow trends. The inclusion of Property Postal Code as
both a measure and a hierarchy across six materialized views enables
detailed geographic analysis of collateral performance. Additionally, new
rules have been introduced for calculating Average House Prices and
determining the Closed Indicator at both the account and credit line
levels.
- Technical
Infrastructure and Release Timeline: This
release strengthens system stability through enhanced population routines
for rules such as CRARULE0076. Date intelligence has been improved with
additional columns in the VW_DIM_DATES view, while automated carry-forward
processes for TDS and GDS balances ensure more reliable and consistent
data handling. These infrastructure upgrades contribute to a more robust
and dependable system environment.