Optimize your operating model with consistent data across services.
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Your data looks and feels the same, ready to be used across your operating model. Fusion ingests, normalizes and harmonizes data from multiple sources and types, including from J.P. Morgan Securities Services and additional providers.
Gain a complete overview of each element across your portfolio and accounts, integrated into a single panoramic view. With all your investment data normalized and linked, you can see your Custody, Middle Office, Fund Accounting data and more, including public and private assets, in one place. Save time and resources cleaning data and reduce operational risk, with datasets delivered in a standardized format.
LEARN MOREView, filter and drill down into your Securities Services data using an intuitive exploration tool. Easily jump between different data domains, portfolios and accounts. The linked data model enables interoperability and viewing of your harmonized data.
Easily access and integrate your normalized securities services data into your tech stack using modern cloud-native channels, including API, Jupyter Notebook, Snowflake, Databricks, and more. Benefit from all your containerized data, consumed and integrated wherever you are, in any data environment.
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Don’t let your operating model be hindered by inconsistencies in disparate datasets and nuanced differences between vendors. Fusion delivers data that is standardized, with consistent identifiers, structures and formats. Fusion’s ingestion engine transforms all data to be ready for analysis and immediate use anywhere in your operating model.
Fusion uses algorithmic association and common identifiers to normalize your data at scale.
Access well-structured data containers in clean, optimized rows and columns, with the same identifiers, consistent across all sources. Data formats are conformed to both CSV for business users and Parquet for large data querying needs. Dataset source files are stitched together into logical containers, making the data usable out of the box.
Reduce errors caused by incorrect identifiers. Fusion offers a continuous and proactive approach to identifying and correcting provider identifier inaccuracies and incompleteness, even as instrument identifiers evolve through corporate actions such as stock splits, tender offers and mergers and acquisitions.
Fusion’s ID synthesis engine consistently links identifiers, normalizing and processing datasets so they are immediately usable for analysis. Fusion updates its schema to keep pace with vendor changes, on your behalf. Data and schema are fully bitemporal allowing as-of and as-at analyses.
Eliminate time spent filling in the gaps in vast datasets. Fusion enriches data on your behalf, with relevant reference data and account information. As one of the world's leading market-makers*, J.P. Morgan utilizes a vast database of reference data, leveraging partnerships with best-in-class data providers, with connections available out-of-the-box.
Benefit from seeing all your investment data, both public and private, in one place, with data normalized across J.P. Morgan and additional securities services providers.
Fusion normalizes and links your data to establish relationships between datasets, allowing you to gain a unified view of your IBOR and ABOR. Data is delivered pre-enriched with reference data and account information for completeness. Simplify your operating model and enhance the way you utilize your data. Generate value faster and make better investment decisions, with all your data already consolidated in one place.
View private assets data on your portfolio. Your coverage is now complete, with both public and private data supported in your portfolios and accounts, in a single view encompassing all asset classes. Fusion integrates private assets data from leading providers ensuring that you have the complete valuation of every asset in your portfolio. Efficiently manage your portfolio without needing to rely on different systems to handle your public and private data.
Get a consolidated view of custody assets, collateral pledges, receives and lending loans and inventory. Whether you custody with J.P. Morgan, another custodian, or a combination of both, Fusion enables you to compare and reconcile easily across securities services books-of-record (including Custody, Middle Office, Fund Accounting and more), with data normalized across different sources.
Analyze your portfolio using an ESG lens. Save time and resources gathering ESG data and mapping it to your accounts and portfolios. Fusion integrates ESG data from multiple vendors, making it simple to overlay ESG metrics on top of your normalized and linked positions and transactions, without additional steps.
Eliminate the need to integrate additional vendors to link datasets. With all ESG data modeled to align with your portfolio, you can jump straight into analysis.
Consolidate your research data for proxy voting. Fusion serves as a one-stop-shop for ESG data across vendors, eliminating the need to rely on ESG data from multiple vendor sources.
The capabilities to overlay ESG data on top of your portfolios is available as an additional service upon request.
Fusion’s Data Explorer tool makes it easy to find and analyze the exact data you need, such as transactions, positions, instruments and company data. View across your entire portfolio and easily switch between multiple accounts, smoothly navigating into specific positions and instruments to see data in-depth.
We’ve developed the Fusion Graph to power the Data Explorer’s ability to connect data, with a comprehensive understanding of datasets and their metadata, all with Point-in-Time history.
Fusion’s linked data model makes it easy to query and analyze data at scale, generate insights more quickly, and embed additional analytics services or machine learning models. Your harmonized data is ready for analysis, without the usual headaches of manually linking data across types.
Data is modeled and linked with well-defined relationships, providing a unified view across all data domains, sources, and types. The linked data model enables interoperability and easy switching between different data views. Containerized data consists of pre-joined extracts with relationships modeled intact and enriched with valuable reference data, ready for use.
Access 20 ready-to-go containers immediately, created on your behalf with the most relevant sets of attributes, in a single view without further configuration needed. Fusion Data Catalog provides a storefront experience to browse and discover new datasets available across asset class themes and providers. Browse the Data Catalog and select containerized data feeds to integrate.
Integrate securities services data directly into your existing applications and workflows with the new REST API. Utilize the Fusion Python and Java SDK to accelerate your development.
The PyFusion SDK simplifies your experience with the Fusion API in Python, taking care of credential and session management, and efficient parallel data downloads.
Don’t miss an update. Event-driven notifications eliminate the need for you to call the API to determine if data is available. Subscribe applications for automatic notification when relevant events occur, such as the publication of a new dataset instance.
Event notifications are tailored specifically for you, removing the need to filter through updates across the catalog. Receive notifications for subscribed datasets in your own private catalog and the Fusion common catalog.
Receive your data directly in Snowflake tables, automatically completing table creation as data becomes available, so you can immediately make use of your data in the cloud environment.
Access data in Databricks’ lake house architecture, with Fusion’s Parquet files normalized to work natively within Databricks for enhanced compute and machine learning capabilities.
Setup your Snowflake and Databricks connections within the Fusion UI, in a fully self-service experience.
Fusion provides self-service tools to accelerate your development, such as setting up API access and distribution channels and selecting data to extract. In-depth and easy-to-use documentation makes rapid onboarding a simple and fully self-service experience. Authorized users can set up functional accounts, access credentials and connect to the API hassle-free.
Enable your teams to do more with your containerized data. Upload and distribute data securely within your own organization, making collaboration with securities services data easy. Fusion creates a private data catalog on your behalf in a single secure tenancy with robust entitlements and controls.
Without needing technical or developer assistance, you can easily connect to Fusion using your local file directory in Windows Explorer. Fusion Drive enables you to explore permissioned data sets available in the Catalog. Preview and then download data to your local computer. Establish a connection between Fusion Drive and your preferred analytical and BI tools, so you can run your models on demand.
We’ve pre-integrated best-in-class analytics capabilities into the Fusion engine, in collaboration with FactSet and MSCI. Fusion offers services to connect your containerized data with Fusion Analytics. By opting for Fusion Analytics service, you can analyze performance, ex-ante and ex-post risk, and performance attribution to assess every factor affecting your portfolio, for any asset class both public and private.