The Studio
A focused, senior-level BI studio — not an agency, not a consultancy with rotating staff. One person, one methodology, full accountability from design through to ongoing operation.
Background
Datawerk was founded on a simple observation: most growing companies waste significant time and money trying to build data capabilities before they've established what decisions they actually need to make.
The studio draws on eight years of hands-on experience in BI, analytics engineering, and data architecture — across SaaS, consumer apps, e-commerce, and marketplace businesses. The work has ranged from zero-to-one data warehouse builds for seed-stage startups to metric governance projects at Series B companies preparing for board-level scrutiny.
Before founding the studio, the principal worked embedded inside product and growth teams, which shapes the way every engagement is approached: the goal is decision quality, not data volume.
The studio operates as a deliberately small structure. There are no account managers, no project coordinators, no junior analysts learning on client time. Every engagement is handled directly by the principal, from the first scoping call through to ongoing maintenance.
How We Think
The beliefs that shape how every engagement is structured, scoped, and delivered.
Decisions made during the design phase determine 80% of the outcome. Rushing to code before the data model is agreed costs more time than any deadline justifies.
The measure of good analytics work is whether it changes what people do. A beautifully designed dashboard that nobody acts on is not a success.
A data warehouse that works in staging and breaks in production is not a data warehouse. Everything is built to be maintained, extended, and handed over cleanly.
If a metric can't be explained in writing, it isn't defined. Every model, every metric, every transformation gets documented as part of the work — not as an afterthought.
Technology choices follow from requirements. There is no stack that fits every company. Recommending the familiar over the appropriate is a form of negligence.
A data infrastructure that requires the original builder to maintain it indefinitely is not a good outcome either. Everything is built to outlast the engagement.
Fit
The studio is a good fit for a specific kind of company. Being clear about this saves everyone time.
Seed to Series B companies that have real revenue, real data, and no structured way to understand either of them.
Businesses where key metrics are calculated in Excel, live in someone's head, or differ depending on who you ask.
Marketing and product teams spending time on reports that should be automated — and making decisions based on data they don't fully trust.
Businesses that need the output of a data function but don't yet have the size, budget, or management capacity to build one internally.
You need a team of five with dedicated data science, ML engineering, and an internal CDP implementation. The studio is not the right choice for companies at that scale. It's the right choice for companies that aren't there yet — and want to build correctly from the start.
Start Here
A 30-minute conversation is enough to establish whether there's a good fit. No sales process, no deck — just a direct conversation about what you need.
Book a Free Consultation