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In today’s data-driven landscape, effective governance and management of Critical Data Elements (CDEs) are essential for maintaining organisational efficiency, ensuring regulatory compliance, and driving informed decision-making. As organisations continue to face the challenges of managing vast amounts of data, understanding which data elements are critical and ensuring their alignment with compliance regulations becomes paramount.
Whether you’re just starting or looking to refine your approach, this session offers practical insights into how to successfully roll out a Data Governance framework for managing your most critical data elements, progressively across business domains, balancing both business outcomes and compliance requirements.
Join Natalie Hogan, Senior Manager of Data Quality & Enablement at Aware Super, to learn about:
The critical role CDEs play in complying with key regulatory requirements
Aware’s 5 step framework for bringing business domains under governance
Using an iterative approach to people, process and technology to embed governance in the business
How effective CDE management enhances organisational efficiency, mitigates risk, and ensures compliance
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Organizations face mounting pressure to ensure their data is accurate, compliant, and fit for decision-making. But with vast amounts of enterprise data to manage, how can teams prioritize governance efforts effectively?
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Are you struggling to create effective data products that deliver measurable value? Learn about the ten key attributes that make data products truly impactful. This guide will help you:
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Using Alation’s Data Quality Processor (DQP) and Snowflake’s Data Metric Functions (DMFs) you can automate data quality checks, centralize intelligence, and provide teams with reliable, AI-ready data. Together, with Anblicks, we’ll showcase proven strategies, grounded in both practical experience and leading research, for implementing these solutions at scale.