Single point of reference
EDM Warehouse can aggregate exposure, performance, risk and market analytics into a consolidated snapshot. This simplifies a firm’s architecture by providing one repository regardless of the sources of the data.
Industry-proven data model
Firms have the option of leveraging a pre-defined data model, which facilitates a quick time to market. The model supports a wide range of asset classes and portfolio strategies for both traditional and alternative asset managers, and reflects the experience and best practices of the EDM Warehouse client base.
EDM Warehouse has an open architecture, which enables firms to integrate their data into any accounting, analytics or third-party system. New data sources do not require core development because the data model is not structured around one system or view of the world.
EDM Warehouse enables firms to benefit from best practices and respond quickly to industry changes (such as the introduction of new regulations) by providing pre-defined sub-models and data services.
Due to its data- and system-agnostic design, EDM Warehouse can store data from multiple sources before distributing it to different downstream systems. The platform was designed to support multi-region or multi-boutique organizations.
EDM Warehouse stores and gives users the ability to run ad-hoc reports on a wide range of data, including historical transaction, position and performance data. It provides visibility of the full transaction history of all activities.
EDM Warehouse is fully integrated with S&P Global's core EDM data management platform, which provides the data quality and controls that are critical to any warehouse initiative. Coupling EDM Warehouse with the EDM platform provides firms with an integrated, industry-leading and best-in-class data management tool.
EDM Warehouse is available as both an installed solution and managed service. By using the managed service, firms can reduce implementation times, cut costs and scale up/down their use of the platform as their needs evolve.