Data Merge or consolidation is a crucial step in the data quality processes. It is a complex process, since data records from multiple source systems need to be in consolidated into one single record. OpenDQ's data merge process has complete flexibility for automation of the data merge process. 

Out of the box merge rules:

•  Data attribute selection based on the source of the data.
• Survival based on the frequency of the data occurrence within the record set.
• Selection based on the recency of the data.
• Data selection based on non-null values.

 Complex business rules:

•  Supports "If then Else" types of dependency logic.
•  Use multiple sub conditions/attributes on data to determine survivor ship data.

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