A Global Hedge Fund, based in New York with multiple offices around the world manages $15b of assets and has a multi-strategy approach. In the last few years their data needs have exploded due to expansion.

The data footprint is large and varied, with hundreds of databases of different types, thousands of files, both on-prem and in-cloud.

We provided a complete data strategy for the new data platform, including buy/hold/sell recommendations, making the best use of existing committed contracts and assets, and sunsetting older technologies.

The firm now has a technology and integration blueprint to execute towards, and is developing standards, best practices and guidelines for their enterprise technology choices.

Our client, a worldwide household name in Asset Management, required data architecture guidance and leadership in order to help their transition from legacy investment solutions to a modern, cloud-first data stack, based on Finbourne for IBOR and Operational Data Store, and Snowflake for Data Warehouse & Data Lake.

We developed a data integration strategy, defined a new data architecture, and mobilised and mechanised their data modelling team to start delivering an enterprise / integration data model that built standard APIs for integration, and analytic views in the database.

The data model is now used by the whole of the technology team who depend on it for cross-functional communication and integrated analytics

Two of the largest banks in the world use our expert services to accelerate their data governance programmes.

For a US investment bank, our consultants developed the metadata and integration strategy, and a data model for data governance, mapping this to their Collibra implementation and an internal data lineage tool.

For a Swiss investment bank we designed and developed data lineage processes, issue management workflows, data models and integration architectures to ensure the tools they were building out could communicate and share data.