Best practices for specifying data requirements, managing implemented data across the entire data lifecycle, and ensuring timely and accurate data from data providers.
The Data Operations category contains process areas designed to help an organization:
- Define and specify data requirements;
- Map and trace data through the business processes that produce or consume it;
- Ensure that data changes are tracked and managed;
- Select data sources according to requirements and verify authoritative sources; and
- Include quality requirements for vendor agreements.
Data Requirements Definition addresses practices that ensure specifications for data: satisfy business objectives, are validated by stakeholders, are prioritized, and are documented through a repeatable process. Data Lifecycle Management assists an organization to ensure that data creation, movement, and updates are mapped to business processes and data stores across all lifecycle phases. Data Provider Management contains best practices for selection of data sources, contractual and service level agreement controls, and systematic interactions with internal and external providers to improve service and quality.
The practices in this category will:
- increase staff’s knowledge about the data assets;
- allow business process performers to identify the best data sources to meet their needs;
- enable both data suppliers and consumers to map data dependencies;
- allow stakeholders to determine the impact of changes;
- support organized data integration; and
- design or acquire more accurate and efficient systems and data stores.