What is Data Profiling
Data profiling is a technique used to analyze the content, quality, and structure of source data. Use Power Center Data Profiling to detect patterns and exceptions of source data during mapping development and during production. Use data profiling to make the following types of analyses:
- Make initial assessments.
- Validate business rules
- Verify assumptions.
- Verify report validity.
Make initial assessments. You can make initial assessments about data patterns and exceptions data during mapping development. As a result, you can design mappings and workflows on actual data, rather than make theoretical assumptions about sources.
Validate business rules. You can validate documented business rules about the source data. For example, if you have a business rule requiring columns in a source table to contain U.S. ZIP codes, you can profile the source data to verify that the rows in this table contain the proper values.
Verify assumptions. You can verify that the initial assumptions you made about source data during project development are still valid. For example, you may want to view statistics about how many rows satisfied a business rule and how many did not.
Verify report validity. You can use data profiling to verify the validity of the Business Intelligence (BI) reports.