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.
Guideline code
ICT_05900
Mechanism
Mechanism
- The Master Data Stewardship Council should define goals and indicators concerning the quality of the master data. These goals and indicators:
- Provide the means to carry out permanent quality control and improvement;
- Should be defined in coordination with business areas and customer services.
- The Master Data Stewardship Council should implement monitoring mechanisms on the quality levels of the master data.
- The Master Data Stewardship Council should implement measures to improve quality levels of the master data.
- These measures may consist of master data profiling and master data cleansing operations;
- They may be applied periodically and on an ad hoc basis.
Structure
Structure
- The Master Data Governance Committee should institutionalize practices related to the management and improvement of the master data quality.
- The Master Data Stewardship Council should:
- Define relevant goals and indicators for the quality of master data;
- Implement practices to ensure adequate quality levels and to improve them when necessary;
- Design and coordinate the assessment and improvement actions.
- The quality improvement measures on the master data should follow the institutional data management frameworks recommended in Section A.5, Data and Information Management, as well as international practices defined in the DAMA DMBOK.
Title HTML
Guideline 45. Improvement of master data quality
Type
Guideline_1
Weight
62