Fusion by J.P. Morgan releases a new suite of private markets data services that delivers standardized data aggregated from multiple vendors and sources, allowing investors to analyze their complete portfolio across private and publicly traded holdings.
NEW YORK--BUSINESS WIRE--
J.P. Morgan today announced the launch of its Private Markets Data Solutions for institutional investors, available through Fusion by J.P. Morgan. This is a comprehensive data management solution for private assets that enables investors, both General Partners (GP) and Limited Partners (LP), to analyze and gain transparency into their complete portfolio across public and private holdings and eliminate the manual processes of managing this operational workflow at scale.
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Flowchart shows the capabilities of J.P. Morgan Fusion's new suite of private markets data services. (Graphic: Business Wire)
The growth of alternative portfolios has presented investors with unique data challenges. The lack of a single, standardized source for private markets means investors are left with incomplete and fragmented data that is difficult to analyze. The process of manually extracting and integrating data from unstructured sources is time-consuming, costly, and error prone. Managing multiple vendors, data feeds, and portfolio administrators complicates data consolidation and transparency, affecting decision-making and necessitating specialized expertise and scalable technology, which further escalates costs and delays time to market.
Fusion minimizes the need for resource-intensive processes by offloading this workload to algorithms that work automatically, accelerating time to insights. Data is ingested from J.P. Morgan Securities Services and portfolio administrators, which is then complemented with reference data from vendors. Developed by J.P. Morgan's data experts, Fusion's proprietary AI-ML technology helps correct discrepancies and incompleteness and applies standard identifiers for consistency and easy interoperability. Clients receive standardized, enriched data that is consistent across diverse asset classes like private equity, real estate, venture capital, natural resources, and infrastructure, while preserving granular detail and linkage.
