In data consistency testing, what does it mean when we refer to "data reconciliation"?

  • Comparing data with a known set of values to verify accuracy
  • Ensuring that data is compliant with industry standards
  • Identifying and resolving inconsistencies between different data sets
  • Removing outdated or irrelevant data
Data reconciliation in data consistency testing refers to the process of identifying and resolving inconsistencies between different data sets. This involves comparing data from various sources to ensure alignment and accuracy, thus maintaining data integrity.
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