J.P. Morgan has unveiled its Securities Services Data Mesh for institutional investors, available through Fusion, its cloud-native platform.
The solution allows investors to access investment data from J.P. Morgan’s Custody, Fund Accounting and Middle Office services via cloud-based channels, including REST APIs, Jupyter notebooks and the Snowflake Financial Services Data Cloud.
The launch aims to address issues related to the integration of asset servicing data, particularly as portfolios increase in size and complexity. The new offering includes collaborations with leading cloud providers, including Snowflake.
- J.P. Morgan has launched its Securities Services Data Mesh, allowing investors to access investment data through cloud-native channels.
- Fusion by J.P. Morgan offers a range of cloud-native channels, addressing challenges in integrating asset servicing data.
- Fusion collaborates with leading cloud providers, including Snowflake, to deliver Securities Services data directly into investors’ workflows.
Revolutionising Investment Data Access with Fusion
In the world of institutional investment, data is king. But accessing it efficiently has been a long-standing problem. J.P. Morgan’s latest solution, the Securities Services Data Mesh, might just change that. Supported by the Fusion platform, this new offering allows investors to access crucial investment data held by J.P. Morgan’s Custody, Fund Accounting, and Middle Office services.
Embracing the Cloud with Data Mesh
Data Mesh is integrated into J.P. Morgan’s Fusion platform, bringing together the capabilities of cloud-native channels like REST APIs, Jupyter notebooks, and the Snowflake Financial Services Data Cloud. This paves the way for organisations looking to harness the power of analytics, AI and machine learning by providing data that is ready for use and analysis.
“Institutional investors continue to leverage data at an increasing rate to maximise alpha and operational efficiency. Having easy access to that data is paramount. With Fusion’s new Data Mesh, we meet our clients where they are, delivering data directly to their Snowflake instances and Python notebooks. Clients can now access data directly from applications running in the cloud and on-premise through Fusion APIs and other modern delivery channels. This launch is the latest example of Fusion helping clients to overcome their data challenges.” – Gerard Francis, Head of Data Solutions, J.P. Morgan
Fusion and Cloud Providers: A Powerful Partnership
In an exciting development, Fusion is teaming up with leading cloud providers, including Snowflake, to deliver Securities Services data directly into investors’ workflows. Fusion’s compatibility with Snowflake means that investors can access J.P. Morgan data directly from Snowflake tables, regardless of their cloud provider.
What Does This Mean for Investors?
The new solution offers investors a range of cloud-native capabilities and channels. REST API, Python and Java SDKs mean that investors can easily integrate data into their workflows or existing applications, and develop advanced analytics for a wide range of use cases. The Fusion Python library can be accessed directly in Jupyter notebooks, allowing investors to plunge straight into analysis with minimal effort.
Final Thoughts
In the data-driven world of institutional investment, the launch of J.P. Morgan’s Securities Services Data Mesh is a significant move. By providing a sophisticated solution to long-standing data integration challenges, Fusion is equipping investors with the tools they need to focus on the growth and evolution of their businesses. It’s a reminder that in the race for investment efficiency, the power of accessible, integrated data cannot be overstated.
FAQ
Q: What is J.P. Morgan’s Securities Services Data Mesh?
A: J.P. Morgan’s Securities Services Data Mesh is a solution that allows institutional investors to retrieve critical investment data held by J.P. Morgan’s Custody, Fund Accounting, and Middle Office services using cloud-native channels such as REST APIs, Jupyter notebooks, and the Snowflake Financial Services Data Cloud.
Q: Why is data within a modern technology stack necessary for organisations?
A: Organisations aiming to take advantage of the cloud’s elasticity and tap into the accelerated growth and rapid development in analytics, AI, and machine learning require data within a modern technology stack that is ready to use and analyse.
Q: What pain points does Fusion’s Data Mesh address?
A: Fusion’s Data Mesh addresses long-experienced pain points in integrating asset servicing data, including the challenges to ingest data at scale, especially as portfolios and investments grow in size and complexity.
Q: How does Fusion’s Data Mesh provide easy access to data?
A: Fusion’s Data Mesh provides a range of cloud-native channels, allowing clients to access data directly from applications running in the cloud and on-premise through Fusion APIs and other modern delivery channels.
Q: Which cloud providers is Fusion collaborating with?
A: Fusion is collaborating with leading cloud providers, including Snowflake, to deliver Securities Services data directly into investors’ workflows.
Q: How does Fusion enable investors to integrate their data into their workflows?
A: Fusion offers new REST API, Python, and Java SDKs that enable investors to easily integrate their data into their workflows or existing applications and develop advanced analytics for a wide range of use cases.
Q: Can investors access data directly in their Jupyter notebooks?
A: Yes, investors can access data directly in their Jupyter notebooks using the Fusion Python library, allowing them to jump straight into analysis and work with the data to solve a vast spectrum of use cases with minimal effort.
Q: How is the Data Mesh optimised for developers?
A: 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 catalogs and data dictionaries through the API and the Fusion UI.
