Case Study: a large European asset manager reduces trade amendments with Linedata Analytics Service

Large European Asset Manager reduces trade amendments with Linedata's machine learning

The vendor Linedata worked with a large European asset manager that was facing significant costs and operational risk due to a high volume of trade amendments requiring manual intervention. The client's management sought to understand the root causes of these trading breakdowns, which were impacting all trade types.

Linedata implemented its Linedata Analytics Service, using machine learning models that analyzed the client's trade and operational data to identify patterns and predict which trades were likely to fail. This allowed the firm to proactively adjust staffing and improve processes. As a result, Linedata's solution enabled the client to significantly reduce trade amendments, achieving measurable cost savings, efficiency benefits, and a reduction in operational and reputational risk.