Definition: The process of comparing and matching any two sets of data, regardless of source, format, or structure. Unlike traditional tools that require standardized inputs, this approach allows firms to reconcile disparate data points, such as internal accounting records against external bank statements, or trade files against risk reports, without manual pre-formatting.
Example: A multi-strategy hedge fund needs to reconcile its internal trade blotter (in CSV) against a prime broker’s daily activity report (in PDF or XML). Using any-to-any reconciliation, the operations team can ingest both files directly into the system to identify matching transactions without manually converting the data into a single template.
Explore the IVP Reconciliation Solution
The IVP Reconciliation Solution delivers a unified approach to complex data matching by combining a data-agnostic engine with expert operational support. This integrated model removes the burden of data normalization from the firm, as our technology and service teams jointly ensure that disparate formats are ingested and reconciled seamlessly. This ensures a consistent golden copy without internal ETL maintenance or manual file manipulation.
