Timeliness
The dimension of data quality measuring whether data is current and available in time for the decision that depends on it, independent of whether the individual values it contains are, in isolation, correct.
Defined in 3 GAGE programs, which carry 3 distinct definitions of it. The wording above is taught in AI Data Governance: The Data Chair.
How each discipline defines it
The same term does different work depending on who is using it. These are the definitions as each program teaches them, unedited.
The dimension of data quality measuring whether data is current and available in time for the decision that depends on it, independent of whether the individual values it contains are, in isolation, correct.
How current the data is relative to the freshness the decision requires; a real-time decision fed stale data fails even if the data is otherwise perfect.
Whether data is current enough for the decision it informs; its shelf life depends on how fast the underlying world changes.
Where it is taught
The exact lessons this term appears in. The first 7 topics of every program are free with a free account.
- Data Literacy for AI: Datasets, Quality, and Pipeline Basics · Advanced AI Literacy, AI Literacy & Professional Conduct
- The six failure modes of data quality, found live in your own warehouse · Quality as Physics, AI Data Governance: The Data Chair
- Data Landscape Audit and Quality Assessment · Diagnose the Organization, Business AI Transformation
Terms it appears with
Not an alphabetical neighbourhood: these are the terms taught in the same lessons, ranked by how often they appear together.