Canoe Intelligence and Bloomberg have launched a certified integration designed to automate the delivery of private fund data into Bloomberg PORT Enterprise, addressing a long-standing operational challenge for asset owners managing portfolios across public and private markets. The integration is intended to reduce manual reporting and make private fund information more accessible within established portfolio and risk workflows.
Canoe’s role in the integration is to collect, extract and normalise private fund data, including cash flows, portfolio positions and holdings, and turn it into validated information that can be loaded into Bloomberg’s environment. Using the Financial Instrument Global Identifier (FIGI) as a common identifier, Canoe delivers the data into PORT Enterprise via secure FTP for mutual clients, reducing the need for manual mapping and data entry.
Once the data is in PORT Enterprise, clients can analyse public and private investments within a broader total portfolio view. Bloomberg positions this as supporting Investment Book of Record aligned workflows, giving firms a more complete view of private fund cash and position data alongside their wider holdings. Clients can also use PORT’s interactive dashboards on the Terminal, run cross-asset risk and scenario analysis with Bloomberg’s Multi-Asset Class Fundamental Risk Model (MAC3), assess performance against Bloomberg’s alternative indices, and compare private fund metrics with traditional portfolio time-weighted returns.
The executive comments in the announcement focus on automation and interoperability. Mike Muniz, Chief Strategy Officer at Canoe Intelligence, said: “For far too long, those of us working in private markets have had to manually input data.” He added: “This Canoe and Bloomberg integration is a more systematic and automated solution for clients looking to refocus on true private fund and portfolio analysis.” Brad Foster, Head of Fixed Income & Private Markets at Bloomberg, said: “Total portfolio management requires interoperability across public and private data, from identifiers and positions to the workflows built on top of them.”
A client example in the release points to the operational value of the integration. Lupita Breland, Investment Operations Manager at Arizona State Retirement System, said manual data entry for private fund holdings had been consuming significant time each quarter and delaying portfolio reviews. With the Canoe-Bloomberg integration, she said, the data now flows directly into PORT Enterprise, supporting a stronger total portfolio view and deeper cross-asset risk and scenario analysis. She added: “We’ve eliminated hours of operational work and can close our reporting cycles faster with confidence in the data accuracy.”
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