Why choose this bundle?

This bundle provides a robust framework for managing data quality in the context of analytics and machine learning. Each component addresses a specific aspect of data quality management, from foundational concepts to governance frameworks.

• ISO/IEC 5259-1:2024 establishes the foundational concepts, terminology, and examples for understanding and applying data quality principles in analytics and ML
• ISO/IEC 5259-2:2024 specifies a data quality model, measures, and guidance on reporting data quality
• ISO/IEC 5259-3:2024 provides requirements and guidelines for establishing, implementing, maintaining, and improving data quality management
• ISO/IEC 5259-4:2024 outlines a data quality process framework, including guidance on data quality processes for various types of machine learning
• ISO/IEC 5259-5:2025 offers a data quality governance framework to enable organizations to direct and oversee data quality measures and management

Key benefits

• Comprehensive data quality management: Cover all aspects of data quality, from foundational concepts to governance
• Enhanced Analytics and ML Outcomes: Ensure high-quality data for reliable and accurate analytics and machine learning models
• Improved Organizational Capability: Build robust data quality management processes and frameworks
• Stakeholder Confidence: Demonstrate a structured approach to data quality, enhancing trust and credibility with stakeholders

Together, these standards ensure that your organization can effectively manage data quality, turning potential data challenges into strategic advantages.