ISO/IEC 5259-5:2025
2025-02
ISO/IEC 5259-5:2025
What is ISO/IEC 5259-5?
ISO/IEC 5259-5 provides a governance framework to help organisations oversee and direct data quality for analytics and machine learning (ML). It equips governing bodies with strategic tools to ensure that data quality measures are implemented effectively across all levels of the organisation and throughout the entire data life cycle.
Why is ISO/IEC 5259-5 important?
High-quality data is a shared responsibility — not just a technical task. ISO/IEC 5259-5 brings data quality into the boardroom by giving decision-makers a structured way to guide, monitor and support data quality efforts. It ensures that analytics and ML initiatives are aligned with organisational strategy, that responsibilities are clearly defined, and that quality controls are embedded throughout the data life cycle.
Benefits
- Enables strategic oversight of data quality for AI and analytics
- Aligns data quality initiatives with organisational goals
- Encourages accountability and coordination across departments
- Enhances trust and transparency in ML outcomes
- Complements existing ISO/IEC 5259 quality management processes
FAQ
It’s primarily for governing bodies and senior management who are responsible for directing data quality policies and practices in AI and analytics projects.
While 5259-3 and 5259-4 focus on management and operational processes, 5259-5 provides a governance-level framework — it defines the "why" and "who", not the "how".
No — the governance framework is relevant for both analytics and ML, and for any system where data quality plays a critical role.
Offre groupée
AI data quality management bundle
Ensure high-quality data for analytics and machine learning with our comprehensive ISO/IEC 5259 standards bundle.
- ISO 5259-1:2024
- IEC 5259-2:2024
- IEC 5259-3:2024
- IEC 5259-4:2024
- IEC 5259-5:2024
Informations générales
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État actuel: PubliéeDate de publication: 2025-02Stade: Norme internationale publiée [60.60]
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Edition: 1
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Comité technique :ISO/IEC JTC 1/SC 42ICS :35.020
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