Case Study: Global Financial Services Company achieves future-proof data integration with Cambridge Semantics Anzo

Financial Services Leader Selects Anzo for Future-Proof Data Integration and Modern Data Management

Global Financial Services Company was struggling with fragmented legacy relational databases and manual ETL processes that made data integration slow, costly, and inflexible. Business teams often waited 6–12 months for needed data, and each new regulatory request typically required a one-off project from scratch. The company needed a modern way to harmonize data across silos and enable ad hoc, enterprise-wide data exploration.

Cambridge Semantics implemented the Anzo data fabric platform to semantically integrate and harmonize disparate data sources based on business meaning and context, rather than manual SQL joins and mappings. As a result, the company reduced one-off data projects, improved data lineage and attestation for regulators, and sped access to integrated data for analysis. Cambridge Semantics also helped the customer create harmonized datasets for trading analytics and future fraud and risk use cases, while significantly lowering IT operational costs tied to data transformation work.