In a world driven by data, organizations are eager to unlock the promise of advanced analytics and Generative AI. But without a strong governance foundation, these initiatives often stall or worse, mislead. Recent research shows over 60% of organizations report poor data quality undermines their digital efforts, while the majority admit they’re underutilizing their data assets.
This session cuts through theory to deliver actionable case studies for CIOs and IT leaders looking to establish practical, scalable data governance programs that deliver value. Tailored to the realities of Canadian mid-sized and enterprise organizations, the conversation will address:
• Navigating tool overload and fragmented tech stacks
• Embedding governance into cloud, hybrid, and multi-platform environments
• Balancing data quality, access, and speed to serve both innovation and compliance
• Creating operating models that drive accountability across IT and business
• Demonstrating quick wins to build momentum and executive buy-in

You’ll hear real-world lessons and proven frameworks from Data Elephant, a Canadian data and AI consultancy helping organizations take a tactical approach to data governance success and foundations for innovation.

Why Attend:
• Learn best practices on developing or refreshing your data governance strategy
• Discover challenges and key lessons from real-world governance projects
• Learn how to balance foundational data needs with high-impact, external-facing use cases.