The data model is the product. A Model Citizen builds it right.

Model Citizen provides content, resources and contract services for data analysts, engineers and leaders who treat the semantic model as the spine — the one layer that analytics and AI are both built to stand on.

Data Sourcesraw · inconsistent
The Data Modelthe semantic spine
Data Surfacesevery surface, one model

Define it once. Trust it everywhere.

Concepts

Mental models, field notes & ideas I wrote down

Browse concepts →

Skim for the idea that matches what you're wrestling with right now — each one's a short, field-tested read that connects straight through to the real work it came from.

Recognize your team in one of these? Tell me which one — I'll tell you how it actually plays out and what to do next.

Services

What are your symptoms?

All services →

Scan the cards below for the symptoms that sound familiar — you will see that your challenges are not unique or unsolvable. Solutions start with the symptoms. Find a solution you can implement or find out how to get some help getting started.

Data Platform Audits

The bill keeps climbing and no one can say why.

Bottlenecks, runaway compute, and silent risks hiding in a stack nobody's audited end to end.

Try it yourself →
Analytics Engineering

Every dashboard tells a different number.

No trusted model underneath. "Revenue" is defined ad hoc in five places, so five reports disagree.

Try it yourself →

Or maybe it's one of these

Not sure what you've got? Describe the symptom — I'll tell you what it is and whether it's a DIY fix or a call.

Resources

Free resources. No strings attached.

Browse library →

Grab what's useful — templates, guides, and tools I've built and actually used, free to download, no email required.

Not seeing what you need? Tell me what you're working on — I'll point you to it or build it.

Solutions Gallery

Use cases, demos & prototypes

Browse solutions →

See what's actually been built — real use cases and working prototypes, browsable by the outcome they drive, not just the tech underneath.

Have something like this in mind? Tell me about it — I'll tell you what it'd take to build and whether it's worth doing.

Have data that should be doing more?

Tell me about the pipeline that breaks, the metric nobody trusts, or the analysis stuck in a notebook. Let's operationalize it.