Global Financial Institution – ESG & Ratings Data Quality Transformation
Outcome
Consistent, auditable ESG & credit data across multiple regions
The Problem
Legacy rating and ESG data pipelines spanned DB2, Sybase and SQL Server with inconsistent cleansing rules. The lack of traceable logic and audited workflows increased regulatory risk, particularly for ESG-linked score transparency and financial disclosures.
Our Solution
We built a governed, regulatory-grade data quality and migration framework using Informatica PowerCenter + IDQ. All rating and ESG transformations became auditable, steward-reviewed and traceable end-to-end.
Key actions
- Rule-based cleansing for ESG, identity & rating attributes
- Exception workflows with steward approval tasks
- Audited lineage from staging to BI & downstream models
- Incremental + historical migration strategy
- Optimised ETL performance and rule reuse via IDQ
Impact
- Trusted credit rating and ESG outputs in all regions
- Reduced regulatory risk with audited workflows
- Faster reporting from optimised ETL delivery
- Future-ready platform for new ESG scoring products
Why It Mattered
The organisation moved from reactive data cleansing to proactive, rule-driven quality assurance – protecting regulatory credibility in ESG and credit markets.
Tech Snapshot
Informatica PowerCenter • IDQ • Oracle • PL/SQL • T-SQL • DB2 • Sybase