- Data reconciliation is the process of comparing data from different sources to ensure they match.
- It helps identify mismatches in numbers like totals or counts.
- In one project, we reconciled sales figures between the source system and Power BI reports.
- We checked row counts, totals, and key metrics.
- This helped catch missing records and transformation issues.
- Reconciliation is usually done during validation or UAT.
- It ensures report accuracy before business release.
- It builds confidence in analytics outputs.
What is data reconciliation?
Updated on January 2, 2026
< 1 min read
