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.

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