SimCorp's Dimension to interface with Reuters DataScope Select

Reuters (LSE: RTR, Nasdaq: RTRSY), announced today that it has entered into a strategic alliance with SimCorp, a leading global provider of investment management and treasury systems for the financial sector and corporate treasuries.

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SimCorp's seamless processing investment management system, SimCorp Dimension, will now integrate comprehensive pricing, corporate actions and historical reference data for all asset types from DataScope Select. This will offer a flexible data delivery solution that provides SimCorp Dimension customers with the ability to retrieve the full range of Reuters DataScope Select data at a time and in a manner of their choosing.

For the first time, SimCorp Dimension users will have a fully hosted FTP delivery option for a cross-asset view of Reuters DataScope Select's extensive, high quality pricing, corporate actions and reference data – including real-time snapshot, evaluated US and European pricing, historical pricing and deep analytics. This enhances the data currently available to SimCorp Dimension customers using Reuters existing data feeds.

Caroline O'Shaughnessy, head of third party alliances for Reuters Pricing & Reference Data, said: "Our alliance with SimCorp provides customers with the ability to choose a premium, high quality vendor such as Reuters, where they will benefit from all of our content and enhancements going forward."

Søren G.A. Pedersen, vice president for partner development at SimCorp, said: "The interface between SimCorp and Reuters will offer our common customers operational efficiencies while providing flexible access to the high quality Reuters data they require. This partnership creates a platform for them to derive real business benefits."

The alliance with SimCorp is another example of how Reuters is a preferred data source, offering complete solutions to manage and distribute Reuters data to a department or throughout the enterprise – from automatic corporate actions management to synchronizing pricing and reference data.

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