Data discovery and profiling

Data profiling enables data experts to investigate, document, and resolve data quality issues.

Data profiling alerts you to hidden inconsistencies and incompatibilities between data sources and target applications, and it helps you communicate what you’ve discovered about the data with others in your organization.

Reasons for data profiling include:

To find out whether existing data can easily be used for other purposes.
To give metrics on data quality, including whether the data conforms to company standards.
To assess the risk involved in integrating data into new applications.
To track data quality.
To assess whether metadata accurately describes the actual values in the source database.

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Data Profiling

Data profiling enables data experts to investigate, document, and resolve data quality issues.