Data Reconciliation Methods

Data Reconciliation Methods are the processes used to compare different sets of data to ensure they match and identify any discrepancies. In custodial audits, this involves reconciling the internal liability database with the blockchain records of asset holdings.

Any mismatch between these two datasets must be investigated and resolved immediately. These methods are essential for identifying errors, fraud, or technical glitches that could lead to insolvency.

By using automated reconciliation, firms can ensure that their financial records are always accurate and up-to-date. This is a critical operational control for any financial institution.

Effective reconciliation is the final check before a proof of reserves is published. It provides the confidence that the data being presented is a true reflection of the firm's financial state.