The solution enables investors to retrieve critical investment data held by J.P. Morgan’s Custody, Fund Accounting and Middle Office services, using cloud-native channels including REST APIs, Jupyter notebooks, and the Snowflake Financial Services Data Cloud.
Fusion is Snowflake compatible with Securities Services datasets ready to be extracted directly from Snowflake tables. Investors using cloud services such as Snowflake as an integration layer can directly access J.P. Morgan data regardless of their cloud provider.
The new REST API, Python, and Java SDKs enable investors to easily integrate their data into their workflows or existing applications and develop advanced analytics for a wide range of use cases, from automated reconciliation to investment analysis and reporting.
Investors can access data directly in their Jupyter notebooks using the Fusion Python library, allowing them to jump right into analysis and work with the data to solve a wide spectrum of use cases.
The Data Mesh is optimised for developers with a notifications service that informs applications when key data events occur, self-service tools for application management and data delivery, and access to data catalogues and data dictionaries through the API and the Fusion UI.
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