Case Study

Building the Semantic Layer: Scaling Enterprise Intelligence at a Global Investment Firm

Building the Semantic Layer: Scaling Enterprise Intelligence at a Global Investment Firm

Building the Semantic Layer: Scaling Enterprise Intelligence at a Global Investment Firm

A global investment firm managing a $330 billion portfolio with over 50,000 employees faced significant challenges due to fragmented data across disconnected systems. Investment teams spent excessive time locating assets, as deal records were scattered across structured databases and unstructured documents. Accessing information often required knowing it existed and identifying the right contact, causing delays that could last weeks. Additionally, teams frequently commissioned external research without realizing similar work already existed internally, leading to duplicated efforts. Siloed expertise across divisions further limited knowledge sharing, reducing efficiency and hindering informed decision-making across the organization.

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