Credit ratings agencies rely on vast amounts of structured and unstructured data to evaluate investment risk and performance. Manual processes for data scrubbing, validation, and transformation limit efficiency and can delay model execution. In a fast-moving market, agencies need to deliver timely and accurate ratings to investors while ensuring transparency and auditability. To address these challenges, the agency selected Decisions as its no-code automation platform, empowering analysts to manage rules directly and streamline ratings workflows end-to-end.
Challenge
Before implementing Decisions, the agency faced:
- Manual Excel-based processes for scrubbing and validating data tapes.
- Dispersed rules embedded across UIs, databases, and spreadsheets.
- Long turnaround times to update rules, creating IT backlogs.
- High operational costs tied to repetitive data preparation work.
- Compliance risks due to limited audit history of rule execution.
Solution
The agency implemented a Credit Ratings Module using Decisions:
- Rules-driven data scrubbing applied predefined validations to raw loan-level data tapes.
- Database integration stored both raw and transformed data for transparency and audit purposes.
- APIs to rating models automatically fed validated data into existing models without manual intervention.
- Audit dashboards captured detailed execution history of each rule for compliance and review.