Big Data Management

J.P. Morgan Unveils New Data Mesh Enhancing Data Access for Investors

J.P. Morgan Unveils Data Mesh Enhancing Data Access for Investors
  • J.P. Morgan introduces the Securities Services Data Mesh via Fusion.
  • Fusion's Data Mesh addresses data integration challenges and expands its capabilities, including compatibility with Snowflake, new APIs and SDKs.
  • Gerard Francis emphasizes the importance of convenient data access for institutional investors and highlights Fusion's role in helping clients overcome data-related challenges.

J.P. Morgan has recently unveiled its Securities Services Data Mesh for institutional investors, now accessible through Fusion by J.P. Morgan (Fusion). This innovative solution empowers investors to access vital investment data maintained by J.P. Morgan's Custody, Fund Accounting, and Middle Office services, leveraging cloud-native channels like REST APIs, Jupyter notebooks, and the Snowflake Financial Services Data Cloud.

In today's dynamic landscape, organizations seeking to harness the flexibility of the cloud and leverage the rapid advancements in analytics, AI, and machine learning require data within a contemporary technology stack that is ready to analyze and use. Fusion steps into this arena with the launch of the Data Mesh, which now includes Securities Services data. With a diverse array of cloud-native channels, Fusion addresses historical pain points associated with integrating asset servicing data, especially the challenge of ingesting data at scale, particularly as portfolios and investments increase in size and complexity.

Fusion has also established partnerships with leading cloud providers, including Snowflake, to bring Securities Services data directly into investors' workflows.

Gerard Francis, the Head of Data Solutions at J.P. Morgan, stated that institutional investors were increasingly utilizing data to enhance their alpha and operational efficiency. He emphasized the significance of having convenient access to this data and mentioned that with Fusion's new Data Mesh, they were meeting their client's needs by providing data directly to their Snowflake instances and Python notebooks.

Francis pointed out that clients now had the ability to access data from applications running in both cloud and on-premise environments through Fusion APIs and other contemporary delivery channels. He also highlighted that this launch represented the most recent instance of Fusion aiding clients in overcoming their data-related challenges.

Here are the notable cloud-native capabilities and channels:

  • Fusion is now compatible with Snowflake, making Securities Services datasets readily accessible from Snowflake tables. Investors leveraging cloud services, such as Snowflake as an integration layer, can now effortlessly retrieve J.P. Morgan data, irrespective of their chosen cloud provider.
  • The introduction of new REST APIs, Java and Python SDKs facilitates the easy integration of data into investors' workflows or existing applications. This empowers investors to develop advanced analytics for a wide range of applications, from automated reconciliation to investment analysis and reporting.
  • Investors have the added advantage of accessing data directly within their Jupyter notebooks through the Fusion Python library, streamlining the process of data analysis and application across a broad spectrum of use cases with minimal effort.
  • To cater to developers, the Data Mesh offers an assortment of developer-friendly features, including a notifications service that keeps applications informed about key data events, self-service tools for application management and data delivery, and access to data catalogs and data dictionaries through both the API and the Fusion UI.

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