Daat Analytics is a Calgary-based collective of data engineers, analytics professionals, and AI practitioners. We work with organizations that want clarity from their data — and the work to make it last.
Daat (דַּעַת) is Hebrew for knowledge — not raw information, but understanding earned through experience.
We chose the name because that's the gap most analytics work fails to bridge. Companies have data. They have dashboards. They have piles of reports nobody reads. What they don't have is the knowledge to act on any of it.
We exist to bridge that gap — through careful data engineering, well-deployed AI, and the patient work of teaching teams to do it themselves.
Daat Analytics brings together data engineers, analytics professionals, and AI practitioners — people who build production systems for a living, not just consult on them. We've spent careers shipping the dashboards, pipelines, and models that organizations actually run on.
We design and build the data foundations that scale — cloud data warehouses, transformation pipelines, semantic models. Comfortable across Snowflake, Microsoft Fabric, Databricks, and BigQuery. Equally comfortable saying which one is right for your situation, and which one isn't.
We've built reporting layers that business and operations leadership rely on daily. The difference between a dashboard that gets opened every morning and one that gets ignored is usually the modeling work that sits underneath — and that's where most of our energy goes.
Revenue, demand, and capacity forecasting. Customer behavior modeling. AI woven into analytics workflows where it earns its keep. Production-grade systems, monitored and retrained — not prototypes that look impressive in a meeting and never ship.
Every solution we ship is tested against the messy, incomplete, contradictory data your business actually produces. We don't show you what could work — we show you what works on your data.
Snowflake. Fabric. Databricks. Power BI. Tableau. Looker. Different tools fit different organizations. We recommend what works for you, not what we have a partnership with. We sell expertise, not licenses.
Every engagement includes knowledge transfer. We document what we build, explain why we built it, and train your team to extend it. Your investment in data should compound long after we're gone.
AI works brilliantly for some problems and uselessly for others. We tell you which is which — even when it means smaller, cheaper engagements. No hype, no overselling, no expensive AI projects that should have been a SQL query.
Working knowledge across the modern data ecosystem. The specific combination depends on your organization — but we've built systems on all of these.
Whether it's a one-time engagement, a long-term partnership, or a training program for your team — start the conversation. We'll respond within two business days.
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