Data Reconciliation for Integration Workflows
Data reconciliation compares what should exist with what actually exists after data moves between systems.
Start with record identity
Use a stable identifier such as an order ID, customer ID, invoice number, or external reference to connect the same logical record across systems.
Compare the fields that matter
Focus on the values whose accuracy affects downstream business operations.
Turn datasets into an exception list
Reconciliation separates clean records from records that are Missing, Different, or Duplicate.
Frequently asked questions
What is data reconciliation?
It is the comparison of records across systems to verify that expected records and selected values agree.
Check the data after the sync.
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