BS ISO/IEC 5259-5:2025 - Artificial Intelligence: Data Quality for Analytics and Machine Learning (ML) Data Quality Governance Framework

In the rapidly evolving world of artificial intelligence and machine learning, the quality of data is paramount. Introducing the BS ISO/IEC 5259-5:2025, a comprehensive standard that sets the benchmark for data quality governance in analytics and machine learning. This standard is an essential resource for organizations looking to enhance their data management practices and ensure the integrity and reliability of their AI and ML systems.

Key Features of the Standard

• Standard Number: BS ISO/IEC 5259-5:2025
• Pages: 24
• Release Date: February 19, 2025
• ISBN: 978 0 539 21430 7
• Status: Standard

Why Data Quality Matters

Data quality is the foundation upon which successful AI and ML applications are built. Poor data quality can lead to inaccurate models, flawed analytics, and ultimately, misguided business decisions. The BS ISO/IEC 5259-5:2025 standard provides a robust framework for ensuring that data used in AI and ML is accurate, consistent, and reliable.

Comprehensive Governance Framework

This standard outlines a comprehensive governance framework that addresses all aspects of data quality management. It provides guidelines for:

• Data Quality Assessment: Techniques and methodologies for evaluating the quality of data.
• Data Quality Improvement: Strategies for enhancing data quality through cleansing, enrichment, and validation.
• Data Quality Monitoring: Continuous monitoring processes to ensure ongoing data quality.
• Data Quality Reporting: Effective reporting mechanisms to communicate data quality status to stakeholders.

Benefits of Implementing the Standard

By adopting the BS ISO/IEC 5259-5:2025 standard, organizations can achieve several key benefits:

• Enhanced Decision-Making: High-quality data leads to more accurate analytics and better-informed decisions.
• Increased Efficiency: Streamlined data processes reduce errors and improve operational efficiency.
• Risk Mitigation: Identifying and addressing data quality issues reduces the risk of costly mistakes.
• Regulatory Compliance: Adhering to data quality standards helps meet regulatory requirements and industry best practices.

Who Should Use This Standard?

The BS ISO/IEC 5259-5:2025 standard is designed for a wide range of professionals involved in data management, including:

• Data Scientists
• Data Analysts
• Data Engineers
• IT Managers
• Compliance Officers
• Business Intelligence Professionals

Conclusion

In an era where data is a critical asset, ensuring its quality is more important than ever. The BS ISO/IEC 5259-5:2025 standard provides the tools and guidelines necessary to establish a robust data quality governance framework. By implementing this standard, organizations can unlock the full potential of their AI and ML initiatives, driving innovation and achieving a competitive edge in the marketplace.

Invest in the future of your data management practices with the BS ISO/IEC 5259-5:2025 standard and ensure your AI and ML systems are built on a foundation of high-quality data.

BS ISO/IEC 5259-5:2025

This standard BS ISO/IEC 5259-5:2025 Artificial intelligence. Data quality for analytics and machine learning (ML) is classified in these ICS categories:

• 35.020 Information technology (IT) in general