how it works
Field-Level Data Transformation
Raw data fields are transformed to align formats and values across sources before reconciliation. This normalization step reduces mismatches caused by inconsistent structures. Transformations are applied systematically and transparently. The result is a clean, reconciliation-ready dataset.
Derived Source Fields
Create virtual fields derived from existing data without modifying the original source. These calculated fields support complex matching and analysis scenarios. Data lineage is fully preserved. This approach adds flexibility while maintaining source integrity.
Data Field Transformations
Transformations can be applied at the individual field level to adjust formats, values, or representations. This prepares data for accurate matching and downstream processing. Changes are predictable and repeatable. Data consistency improves across reconciliation runs.
