Canonica Data is led by Devin Meunier, a data professional who spent years working with the realities of business reporting before moving deeper into data engineering. That experience shapes how Canonica approaches every project: understand the business first, then build the technology around it.
The practice exists because most reporting issues aren't really about the dashboard. They're about nobody agreeing on what the numbers mean in the first place: one team's "revenue" isn't another team's "revenue."
Canonica Data closes that gap: aligning on shared definitions first, then building the pipelines, models, and reporting that make those definitions the default, not the exception.
The work draws on six years of applied analytics, including operations reporting, project coordination, and AI model evaluation, paired with formal data engineering training so the systems built hold up past the first demo.
Production-grade data engineering training under Zach Wilson, covering dimensional modeling, streaming pipelines, and pipeline reliability practices used by top tech companies.
Formal certification in building dashboards that communicate clearly to decision-makers, not just to other analysts.
Experience spanning operations reporting, project coordination, and AI model evaluation, including eliminating over 10 hours of weekly manual reporting for a prior client through automation.
Most data projects fail quietly, not from bad code, but from building the wrong thing because nobody asked the right questions first. Every engagement starts by surfacing those questions.
A structured conversation about how your business actually defines success, including revenue, growth, and engagement, before assuming anything.
Surface the gaps and disagreements hiding in plain sight: the kind that cause two departments to report two different numbers.
Pipelines, models, and dashboards built to those agreed definitions, tested, documented, and built to last past the first demo.
Clear documentation and a system your team can maintain, not a black box only one person understands.
Every engagement is built around one idea: a single, trusted definition of the truth that every team and every model can rely on.
One definition of every metric, agreed on once and reused everywhere.
Dimensional structures built for clarity, not just for today's dashboard.
Systems designed to hold up as data volume and complexity grow.
Leadership teams that trust the number stop debating the number.
Tell us where your data lives today, and where it needs to go.