Whitepaper
CPG 235 Implementation Fundamentals
Discover the challenges faced by Australian banks, insurers, supers, and more in the realm of data risk management. Learn from global experiences and best practices to safeguard your citizens and institutions.
What You'll Learn:
The impact of the Data Management Capability Assessment Model (DCAM) methodology on measuring an organisation’s ability to manage data risk
How BCBS 239 and CPG 235 are influencing Australian firms to become data-driven
The role of the data catalog in data risk management
Don't wait to secure your data and protect your nation. Download now!
Related resources
Webinar Registration
Building a Robust Data Governance Framework for MAS Regulatory Compliance
In the rapidly evolving regulatory landscape, ensuring compliance with data governance standards is crucial for organizations operating in Singapore. The Monetary Authority of Singapore (MAS) has introduced new data governance guidelines to enhance data protection, transparency, and risk management practices.
Register
Datasheet
Alation Data Governance Datasheet
Alation Data Governance provides the ability to establish and sustain governance programs to centralize data assets’ metadata to remove silos, reduce compliance risk through policies, standards, and controls for those assets, and unlock an organization's data safely for everyone by guiding people to trusted, high-quality, and governed data to make compliant data-driven decisions.
Download
Webinar On-Demand
Navigating AI Governance: How Interac Builds Trust and Innovation
As organizations invest in AI, effective governance is crucial to maintain safety and compliance. But did you know it's also critical for creating a consistent framework for innovation? Interac, a leader in digital payments, has partnered with Alation to build a robust AI governance framework. Hear Mohit Sirpal and Shubneet Bharwani from Interac as they share expert insights on creating a trusted data environment for AI. Learn how Interac leverages data intelligence to enable self-service, transparency, and traceability in their AI processes, ensuring they are prepared for future AI initiatives.
Watch now