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Asset owner data tool


Ledger is a data operations tool within SEI Novus that modernizes shadow accounting technology and allows institutional investors to confidently sit on a fully reconciled Investment Book of Records.

Ledger is the bridge between
your accounting and analytics.

Ledger is the bridge between
your accounting and analytics.

Curate a trusted Investment Book of Record

Establish Connectivity

Ingest raw portfolio data from custodians and managers. Aggregate all sources into a single, digital location.

Reconcile Records

Confirm, reject, or correct the data. Alter or log new information, including transactions, returns, and NAVs.

Invest with Confidence

With an accurate understanding of your portfolio, you can now conduct timely analyses and performance projections.

Elevated shadow accounting workflows


Custodian data is parallel booked within Ledger and updated daily, granting you the ability to easily make your own edits on the platform and maintain a clean dataset.


Portfolio data is written by stacking changes, allowing for rigorous audit trails and time travel to past versions. Permissions to edit can be set individually across a team.


With a reconciled view of all of your asset classes and investment types, look-through transparency is at your fingertips. Exposure, attribution, and risk are a mere click away.

DIY or Outsource

Ledger can be implemented in-house, or SEI Novus can perform a light version on your behalf.

Read the press release

“Accessible and transparent portfolio information is essential, but asset owners often receive delayed and unreliable data. Ledger improves portfolio accuracy with the ability to inspect exposures and understand attribution and risk positions. It unlocks more than just due diligence and operational efficiency; Ledger enables asset owners to derive powerful insights for making decisions and investing with confidence.”

Andrea Gentilini

Head of SEI Novus



Out of the Shadows

Many asset owners struggle with reconciling their accounting numbers and their investment numbers. Without accurate data, you really can’t get much from your fancy data models or sophisticated analytics. This is a serious problem for portfolio planning, and also becomes a barrier to identifying risks and—in some extreme cases—identifying fraud. In this white paper, we’ve collected anecdotes from around the industry related to the perils of not having a grasp on portfolio data, and we analyze the aggregate cost of faulty IBORs.

> Read White Paper