BST Awards 2021: Best buy-side performance measurement and attribution product—SS&C Technologies

Product: SS&C Sylvan


SS&C Sylvan combines multi-asset performance book of record support with data management functionality to ensure high-quality results, an attribution engine supporting standard and user-defined methodologies, and flexible reporting with customizable dashboards. 

Typical user-firms: Sylvan is best suited for mid- to large-size multi-asset institutional and wealth management firms. 

The company added 12 new clients in the past year, including clients in the Middle East. It added/expanded clients using Sylvan as a global solution to meet different calculation and reporting needs for various regions; moved over 70% of clients to version 7, while increasing the number of reporting-only users by 15%; and added functionality to meet private equity reporting needs.





“We are pleased to have selected Sylvan and believe that the optionality of their attribution models, impressive dashboard flexibility and proven interfaces with our wider investment architecture will provide us with the quality and flexibility that we need to service our diverse range of strategies and clients.”
Franck Dixmier, global CIO, fixed income, Allianz Global Investors


Over the last 12 months, SS&C Technologies has added ex-ante risk to Sylvan through integration of SS&C’s Algorithmics microservices. Index creation was modified to allow simplified blends and rollups from constituent level, while an attribution validation rules builder was added for more configurable exceptions building. Sylvan now has more than 150 clients globally with most new ones choosing SS&C’s cloud-hosted delivery model. Sylvan has enjoyed significant traction in the Middle East, driven by local (internal) deployments, which seems to be the preference in the region. There has also been significant interest in Sylvan’s private equity reporting capabilities, specifically around reporting internal return rates, private equity multiples, and after-tax performance capabilities, including after-tax benchmark calculations.





Sylvan has been rebuilt using a fully web-based architecture and can be deployed locally/internally, hosted, or as a service. SS&C expects continued growth globally, especially across Europe, where investment managers are looking for a sophisticated platform that can be configured to their investment needs. User-definable attribution (UDA) has proven useful for global companies that require different calculations according to regions, while the firm has been in talks with benchmark providers to offer benchmark data as part of the solution/service, without the need for additional contracts.






Performance and attribution are two sides of the same coin that buy-side firms fixate on, given how crucial they both are to retaining mandates/allocations and driving new ones. Sylvan joined the SS&C stable in 2005 with the acquisition of FMC and, as evidenced by its continued growth across new markets (the Middle East) and new functionality (ex-ante risk, user-defined configuration and private equity support), it continues to be the benchmark against which all other performance and attribution platforms are measured.         





“Sylvan is a best-in-class performance measurement and attribution solution with a growing global client base. It stands out from the competition through its unique combination of comprehensive data management features to drive operational efficiency; a sophisticated attribution engine that supports both standard and any custom methodology; and flexible self-service reporting via customizable dashboards. We continue to invest heavily to keep Sylvan at the forefront of performance and risk analytics and we recently added ex-ante risk modeling capability powered by SS&C’s Algorithmics microservices to meet demand from clients and prospects for a single solution to support both performance and risk analysis.”
Christy Bremner, senior vice president and general manager, Institutional and Investment Management, SS&C Technologies

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