IQ International identified six Performance Domains in a Job Analysis / Role Delineation Study, published as The Job of the Information/Data Quality Professional: Job Analysis Report.
Domain 1. Information Quality Strategy and Governance
This domain includes the efforts to provide the structures and processes for making decisions about an organization’s data as well as ensuring that the appropriate people are engaged to manage information throughout its life cycle. Activities include working with key stakeholders to define and implement information quality principles, policies, and strategies; organizing data governance by naming key roles and responsibilities, establishing decision rights; and building essential relationships with senior leaders in order to improve information quality.
Domain 2. Information Quality Environment and Culture
This domain provides the background that enables an organization’s employees to continuously identify, design, develop, produce, deliver and support information quality to meet customer needs. Activities include designing information quality education and training programs; identifying career paths; establishing incentives and controls; promoting information quality as part of business operations; and fostering collaborations across the organization for the purpose of engaging people at all levels in information quality strategies, principles, and practices.
Domain 3. Information Quality Value and Business Impact
This domain consists of the techniques used to determine the effects of data quality on the business as well as the methods for prioritizing information quality projects. Activities include evaluating information quality and business issues; prioritizing information quality initiatives; obtaining decisions on information quality project proposals; and reporting results to demonstrate the value of information quality improvement to the organization.
Domain 4. Information Architecture Quality
This domain includes the tasks that assure the quality of the data blueprint for an organization. Activities include participating in the establishment of data definitions, standards, and business rules; testing the quality of the information architecture to identify concerns; leading improvement efforts to increase the stability, flexibility, and reuse of the information architecture; and coordinating the management of metadata and reference data.
Domain 5. Information Quality Measurement and Improvement
This domain covers the steps involved in conducting data quality improvement projects. Activities include gathering and analyzing business requirements for data; assessing the quality of data; determining the root causes of data quality issues; developing and implementing information quality improvement plans; preventing and correcting data errors; and implementing information quality controls.
Domain 6. Sustaining Information Quality
This domain focuses on implementing processes and management systems that ensure ongoing information quality. Examples include integrating data quality activities into other projects and processes (e.g., data conversion and migration projects, business intelligence projects, customer data integration projects, enterprise resource planning initiatives, or system development life cycle processes); and continuously monitoring and reporting data quality levels.