Case Study: Large Global Financial Company achieves trusted data quality and accurate reporting with Global IDs

Top Global Financial Institution Picks Global IDs to Improve Data Quality to Drive Critical Business Needs

Large Global Financial Company, a global financial institution with 250,000+ employees, faced fragmented, inconsistent data across legacy systems that undermined regulatory reporting, liquidity assessment and customer acquisition. To solve this, they selected Global IDs to provide an end-to-end, machine learning‑powered data quality and governance solution focused on discovery, profiling, classification and lineage.

Global IDs ingested data from thousands of global systems, applied automated profiling and classification, implemented business rules for ongoing quality monitoring, and traced both physical and logical lineage to validate data across the enterprise. As a result, Global IDs enabled accurate business and regulatory reporting, delivered trusted visibility into data origins and gaps, and established continuous automation that reduced manual effort, lowered risk from poor data and improved compliance readiness.