Data quality controls analysis overview

Data quality controls analysis allows you to assess the data contents for basic, atomic conditions of integrity such as completeness and validity. These are fundamental assessments of data quality, providing the foundation for assertions of trust or confidence in the data.

The data quality controls analysis is a component of column analysis that determines the suitability of data values found in a column. It focuses on three aspects of the data values in the column by using three analytical functions.

Completeness

A function used to identify non-significant values (missing data) in a column

Domain

A function that determines the validity of the data values in a column

Format

A function that determines the validity of the character pattern in a data value

In data quality controls analysis, the system is used mainly to facilitate user analysis by presenting the data analysis results in a meaningful way and by tabulating the statistical results for the analytical functions. You can make the key decisions that establish the appropriate criteria for each analysis function that is used to control the data quality for the column.