
LumiQ is building its data stack from the ground up, with Steep and a semantic model as the single source of metric definitions for every team.

Toronto-based LumiQ turned professional education for accountants into something people actually want to listen to. Its podcast platform delivers verified CPE and CPD credits to 200,000+ finance professionals, with 1,200+ episodes featuring leaders from EY, TD Bank and Slack, and finance teams at Uber, Allstate and HelloFresh learning on it. Last year, the company ranked #91 on Deloitte's Technology Fast 500 with 1,063% growth.
At LumiQ's pace of growth, every team is asking questions about the numbers: how content performs, how members engage, where revenue comes from.
Paul Gallagher joined as Director of Data & Analytics to build the data stack from the ground up.
Paul decided early that the data team's focus would be the model, not the dashboards. That means owning the definitions everything else depends on:
Everyone else builds and explores on top of that, in Steep or by asking in plain language.
Paul had followed Steep since meeting the team at Coalesce, and the metrics-first idea is what stuck. LumiQ is rolling out Steep on a brand-new stack built around dbt, with the semantic model as the source of definitions from day one.
“I've used most BI tools out there and never really liked any of them. What resonated with Steep was the metric-first approach. We define a metric in one place, and everyone knows that when they pull a number, it's the same number everyone else is looking at. That's how you build trust in data.”
Paul Gallagher, Director of Data & Analytics at LumiQ
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