Data Strategy Briefing — May 20, 2024
ISO/IEC 5259-4:2024 extends the global data-quality framework to analytics and machine-learning workloads, pressing data leaders to operationalise measurement and remediation workflows beyond traditional BI pipelines.
Executive briefing: ISO and IEC published ISO/IEC 5259-4:2024 on 20 May 2024, rounding out the Data quality for analytics and machine learning series with implementation guidance for measuring and improving data used in predictive systems. The new part builds on ISO/IEC 5259-1, -2, and -3, defining role responsibilities, quality dimensions, and remediation patterns that span ingestion, feature engineering, and model monitoring.
Key governance checkpoints
- Scope expansion. Extend enterprise data quality policies so ML feature stores, streaming pipelines, and unstructured datasets inherit the same stewardship and escalation paths as warehouse assets.
- Metric alignment. Map ISO/IEC 5259-4 dimensions (completeness, timeliness, accuracy, consistency, credibility) to existing data observability tooling and define thresholds relevant to model performance.
- Lifecycle traceability. Document lineage from source systems to model outputs, ensuring teams can evidence how quality issues were detected, triaged, and resolved.
Operational priorities
- Control library updates. Integrate ISO/IEC 5259-4 tasks into control frameworks linked to EU AI Act Article 17 and NIST AI RMF data management profiles.
- Platform instrumentation. Enhance monitoring on skew, drift, and missingness, capturing metrics required for model cards and regulatory submissions.
- Training and stewardship. Upskill data stewards and ML engineers on the standard's role-based responsibilities and establish RACI charts for remediation.
Enablement moves
- Audit current analytics and ML projects against ISO/IEC 5259-4 appendices to prioritise quality improvement work.
- Update vendor requirements for data observability and MLOps platforms to ensure conformity metrics are exportable for assurance teams.
Sources
Zeph Tech integrates ISO/IEC 5259-4 controls into analytics and MLOps platforms, producing defensible data-quality evidence for regulators and auditors.