FTB-C000095 / Implementation concept

Data Reconciliation

Data reconciliation is the controlled comparison of records or aggregates across sources or processing stages to explain differences.

Also known asreconciliationsource reconciliation

Definitions

In plain terms

It checks whether two systems agree and, when they do not, traces the mismatch to timing, scope, identity, corrections, units, or errors.

Technical

A reconciliation contract defines keys, comparable fields, normalization, cutoff versions, tolerances, match statuses, evidence retention, and escalation ownership.

Scope

Agreement does not prove truth, and disagreement does not automatically identify which source is wrong.

Examples

  • A governed dataset records data reconciliation explicitly and preserves the source context needed to interpret it.

Common misconceptions

  • Data Reconciliation does not have one universal meaning or policy without its declared source, scope, and data contract.

Concept relationships

Where this concept is used

Evidence and governance

  1. Fintech Builder Glossary Definition Contract The Fintech Builder · internal governed contract

    Supports: preferred label, short definition, technical definition

    Limits: Defines governed platform behavior rather than claiming these policies are universally prescribed by external McClellan methodology.

Reviewed by
fintech-builder-owner-approved
Last reviewed
2026-07-26
Next review
2027-07-26
Record status
published