The institution implements measures to ensure adequate quality levels in the master data and to improve the quality when necessary.

These measures, which are based on data quality goals and indicators, typically consist of corrective master data profiling and master data cleansing operations. In order to be cost effective, the data quality goals have to be clearly defined.