Noah Haimov

Noah Haimov

Data Governance Lead
Noah Haimov is a data governance expert specializing in data quality management (DQM) and third-party risk management. He develops comprehensive roadmaps to assist institutions in organizing and managing their data effectively. Additionally, Noah offers best practices to enhance DQM standards, ensuring that businesses maintain high data integrity and compliance levels. 
How Can RegTech Transform Compliance and Risk Management for Businesses?

Data Governance

How Can RegTech Transform Compliance and Risk Management for Businesses?

The proliferation and increasing complexity of regulatory requirements have ushered in a significant surge in compliance costs for businesses, particularly those in highly regulated sectors such as finance and healthcare. Navigating these regulations traditionally requires significant investments in human resources, compliance expertise, and

Navigating the Complexity of PMA Implementation Under IFRS 9

Data Governance

Navigating the Complexity of PMA Implementation Under IFRS 9

Navigating the implementation of post-model adjustments (PMAs) under the International Financial Reporting Standard (IFRS) 9 is a sophisticated challenge for financial institutions, particularly in today's unpredictable economic landscape. PMAs have risen in importance as financial entities strive to compensate for the limitations inherent in

China Introduces Draft Measures for Cross-Border Data Certification

Data Governance

China Introduces Draft Measures for Cross-Border Data Certification

On January 3, 2025, the Cyberspace Administration of China (CAC) issued a draft document titled "Measures for the Certification of Personal Information Protection for Cross-Border Data Transfers" intended for public consultation. The extensive document, which comprises 20 detailed articles, lays out a comprehensive framework for certifying the

Agentic AI to Revolutionize Cybersecurity and Business by 2025

Data Governance

Agentic AI to Revolutionize Cybersecurity and Business by 2025

In the rapidly evolving landscape of technology, the advent of agentic artificial intelligence (AI) marks a significant shift in how enterprises approach cybersecurity and business operations. By 2025, agentic AI is poised to transform these domains by enabling organizations to achieve specific goals, make critical decisions, and take mitigation

How DPOs Can Secure Against Broadening Attack and Threat Surfaces

Editorial

How DPOs Can Secure Against Broadening Attack and Threat Surfaces

Even for experienced professionals, cybersecurity terminology often overlaps in ways that create confusion. And among the most frequently mixed-up concepts are attack surface and threat surface. For data protection officers (DPOs), distinguishing between these terms is not just about word choice but a critical step in building effective security

Financial Institutions Must Modernize Data Management and Governance Practices

Data Governance

Financial Institutions Must Modernize Data Management and Governance Practices

In today's rapidly evolving financial landscape, the need for financial institutions to modernize their data management systems, enhance data quality, and implement robust data governance practices has never been more urgent. This necessity is driven by increasing regulatory demands, shifts in market complexities, and the rapid pace of

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