4.5.1 Types of Data Quality Checks
The following are the types of Data Quality Checks and their definitions:
Table 4-5 Data Quality Checks
Data Quality Check | Definition |
---|---|
Blank Value Check | Identifies if the base column is empty considering the blank space. |
Column Reference/Specific Value Check | Compares the base column data with another column of the base table or with a specified direct value by using a list of pre-defined operators. |
Data Length Check | Checks for the length of the base column data by using a minimum and maximum value, and identifies if it falls outside the specified range. |
Duplicate Check | Is used when a combination of the column is unique and identifies all duplicate data of a base table in terms of the columns selected for the duplicate check. |
List of Value Check | It can be used to verify values where a dimension/master table is not present. This check identifies if the base column data does not match with a value or specified code in a list of values. |
NULL Value Check | Identifies if NULL is specified in the base column. |
Referential Integrity Check | Identifies all the base column data that has not been referenced by the selected column of the referenced table. Here, the user specifies the reference table and columns. |
Range Check |
Identifies if the base column data falls outside a specified range of a Minimum and Maximum value. Value Needs to be between 0 and 100. |
The controls are specific to reports.