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The leading knowledge platform for the financial technology industry

A-Team Insight Blogs

SIX Partners with Crux Informatics to Streamline Data Access

Swiss financial data giant SIX has partnered with Crux Informatics to provide a brand-new managed market data solution to remove unnecessary implementation and management pressure for buy-side companies.

Crux will integrate SIX’s Valordata Feed (VDF), which covers 29.7 million instruments for pricing, corporate actions reference data as well as compliance and regulatory data. The partnership will allow buy-side firms to focus on higher value tasks such as interpreting and analysing data without being limited by consistent management and developmental responsibilities, offering a streamlined data delivery service combining Crux’s cloud-based platform with existing platforms from SIX to delivering manageable data integration.

The partnership is designed to address the issue of disproportionate data availability – a longstanding issue for firms, who usually prefer to offload tasks that provide limited conversion value and devote more time to extracting meaningful data that can contribute to improved investment decisions. The new solution is specifically designed to help buy-side firms to focus on raising alpha without the added pressure of technical integration.

“Buy-side professionals are hungry for historical, well-built datasets they can use to gain a competitive edge,” says Philip Brittan, CEO of Crux Informatics. “SIX has deep domain expertise in data aggregation and normalization, such as tax base data, regulatory based and reference data. This partnership is a natural next step through which we will provide SIX with access to a well-known vendor name in the buy-side, facilitating a seamless link for their clients to security masters and corporate actions data.”

From the other side, working with Crux should help SIX to access wider markets, removing the complicated extraction, transformation and load process detail to provide its buy-side clients with access to a higher quality of data, without having to deal with the issues of integration and management.

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