Definition: A broad term that refers to comparing two datasets to ensure they are consistent and accurate. In a buy-side finance context, this often extends beyond financial figures to include static data, such as security master information, legal entity identifiers, or tax lot details.
Example: A firm reconciles its internal security master database against a third-party data provider (like Bloomberg or Reuters) to ensure that ticker symbols, ISINs, and maturity dates are identical across all systems.
Explore the IVP Reconciliation Solution
The IVP Reconciliation Solution provides comprehensive attribute-level data reconciliation to ensure consistency across the enterprise stack. As part of our integrated service, IVP proactively monitors the quality of reference data, such as credit ratings and coupon frequencies. Our team identifies and corrects “dirty data” at the source, preventing inaccuracies from cascading into downstream trading, risk management, or client reporting.
