The institution manages the quality (e.g. completeness and accuracy) of the master data through a formalized and single institutional framework, with the aim of improving the reliability of the data used in the institution and, consequently, fostering confidence in related processes.
Since the master data are a key asset in social security operations, quality management is critical. The goal is to formally manage the quality attributes of the data which are relevant to social security operations through a single institutional framework. This includes verifying that the operations satisfy the business rules associated with the master models.
Guideline code
ICT_05700
Mechanism
Mechanism
- The ICT unit and the master data management implementation team, with the assistance of specialized units, should specify and implement a framework that defines processes, procedures and functions for the management of the quality of data and information. Different scenarios of the applicable master data services in the institution (e.g. internal services, outsourced services, access to internal and external information) should be taken into account. This includes the following activities:
- Specification of the requirements related to the quality of the master data;
- Specification of a model for evaluating the quality of the master data (metrics, dimensions, etc.);
- Specification of the “business rules” on the quality of the master data that must be implemented in the master data management systems. This activity should involve coordination with business areas and customer services;
- Definition of rules for fixing the non-conformities to master data quality;
- Definition of a strategy for the continuous improvement of master data quality, taking into account the different categories of the master data:
- Data quality goals and indicators for specific categories of master data;
- Strategies for achieving cost-effective quality levels in the master data (preventive versus corrective, defining acceptable risks, etc.).
- Definition of procedures for the management of incidents relating to the quality of the master data.
Structure
Structure
- The board and the Master Data Governance Committee should issue a policy statement on the adoption of a systematic, clear and effective management approach for the quality of master data.
- The Master Data Governance Committee should commission the ICT unit to design a framework for master data quality management, defining the functions and procedures to be involved.
- Specialized organizational structures may be established to manage the quality of the master data. Accountability, roles and responsibilities should be clearly defined and documented.
- The Master Data Stewardship Council should identify the most representative data quality measures for master data.
- The management measures for the quality of the master data should follow the institutional data management frameworks recommended in Section A.5, Data and Information Management, as well as the international practices defined in ISO 8000 and the DAMA DMBOK.
Title HTML
Guideline 43. Master data quality management
Type
Guideline_1
Weight
60