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Earning Trust One Metric at a Time
A trusted data platform is the backbone of informed business decisions, but when end users lose confidence in their data, organizations quickly find themselves buried in a sprawl of one-off reports with inconsistent metrics that are impossible to manage.
In this talk, we'll share our firsthand experience at RB Global rebuilding trust in a data platform that had lost its footing, and the people, processes, and technology that made it possible. You'll learn how we approached democratizing data for our end users while maintaining the governed, consistent metrics that stakeholders depend on to drive critical business decisions.
We'll take you through our platform rebuild using Snowflake and Google Looker, highlighting the specific tools and strategies we used to give stakeholders genuine confidence in the numbers they see. Whether you're just starting to feel the cracks in your data foundation or are deep in a rebuild, you'll walk away with practical insights and a proven framework for turning data into one of your organization's most trusted assets
Shaun Jurgemeyer
Principal Engineer
RB Global
Shaun Jurgemeyer is a Minneapolis-based engineer with over 20 years of experience in a variety of industries. He’s a strong advocate for building sustainable software development practices that produce flexible, reliable, and well-tested solutions. He’s currently a Principal Engineer for Data and Architecture at RB Global, where he’s driving modernization efforts across the company. In his free time, you’ll probably find him at concerts around town or biking the trails.
Ewan Ng
Senior Staff Software Engineer
RB Global
Ewan Ng is a Senior Staff Software Engineer at RB Global, where he leads data platform and cloud modernization initiatives across Snowflake and enterprise analytics. He brings over two decades of experience spanning solution architecture and enterprise systems, with a strong focus on cost optimization, security, and operational excellence. Ewan has played a key role in defining access models and platform standards that balance developer autonomy with scalable, secure, and cost‑disciplined enterprise data platforms.