ISO 8000 - Data Quality 61:5.2: 5.2 The detailed structure of the data quality management process

Figure 2 breaks data quality management into a hierarchy. (a) Implementation has four sub-processes, one per step of Plan-Do-Check-Act. The Plan step is Data Quality Planning, grouping four processes: the management of requirements, of data quality strategy and of data quality policy, standards and procedures, plus planning of data quality implementation. The Do step is Data Quality Control, grouping three: providing data specifications and work instructions, processing data, and monitoring and controlling data quality. The Check step is Data Quality Assurance, grouping four: reviewing data quality issues, providing measurement criteria, measuring both process performance and data quality, and evaluating what the measurements show. The Act step is Data Quality Improvement, grouping three: analysing root causes and developing solutions, cleansing data, and improving processes so that data nonconformities are prevented. (b) Data-Related Support feeds Implementation with information, constraints and technology through the management of data architecture, of data transfer, of data operations and of data security. (c) Resource Provision lifts the performance of the other two with organization-level resources through managing the data quality organization and managing human resources. Implementation's sub-processes run one after another; the support and resource processes run whenever they are needed.