Timeliness measures whether information is current and available when it is needed. It is a data-quality concern tied to organizational deadlines, such as making financial data available at month-end. section 11.3.2
Manage timeliness by:
- Checking that ETL and ELT workflows successfully update their data sources. section 11.3.2
- Adding corrective mechanisms when updates fail, rather than allowing stale information to reach users. section 11.3.2
- Embedding quality checks throughout the data pipeline so problems are found before downstream users and models depend on them. section 11.3.2
Daily forecast pipeline
A daily forecast workflow should update its source reliably because its model predictions support planning for the coming week; stale or inaccurate inputs can contribute to poor resource allocation. section 11.3.2
