Daat Analytics was founded by an engineer who builds the systems they consult on. No layers of intermediaries. No theoretical frameworks. Just clarity from 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.
Elikem Doh founded Daat Analytics after years of building production analytics systems for multi-site healthcare operations — the kind of work where dashboards have to be right, forecasts have to hold up, and "AI" has to mean more than a chatbot demo.
Owns the data platform for a multi-site healthcare provider. Built cloud data warehouse infrastructure from the ground up. Designed semantic models and BI dashboards used daily by operations and clinical leadership. Built ML forecasting for revenue, demand, and capacity planning. The hands-on, in-production foundation that shapes how Daat Analytics approaches every engagement.
Background in data engineering and BI across industries. Hands-on experience with the full modern data stack — cloud platforms, transformation tools, semantic modeling, and reporting layers — built by working through problems, not by reading about them.
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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