Data Drift Assessment
Data Drift Assessment
- Control
Document and assess historic and prospective changes in data distribution, inclusive of missing and nonsensical data. If data drift is apparent and/or expected in the future, implement mitigating measures as much as is reasonably practical.
- Aim
To (a) assess and promote the stability of data distributions (data drift); (b) determine the need for data distributions monitoring, risk-based mitigation strategies and responses, drift resistance and adaptation simulations and optimization, and data distribution calibration; and (c) highlight associated risks that might occur in the Product Lifecycle.