Dublo
Data Strategy
How I Built a Data Platform in One Week with dbt and Snowflake
The full build of a working data platform in one week: Postgres, Airbyte, Snowflake, dbt and Airflow, with the code, 2026 updates and how it makes a team AI-ready.
All services
Ask your data anything. Get the right answer.
Forecasts, lead scoring, AI analysts and automations, built on your own clean data, so the answers are accurate and the actions are safe.
Sound familiar?
- You tried a "chat with your data" tool. It made things up.
- Your team spends hours on questions a system could answer.
- Leadership wants AI. Nobody knows where to start.
What we build
- AI analyst in Slack
- Ask a question, get the answer and the query behind it.
- Forecasting models
- Revenue, demand and spend projected from your own history, not a vendor's average.
- Lead scoring
- Every lead qualified automatically and written back to your CRM.
- Weekly AI briefs
- What changed, why, and what to look at, in plain words.
- Agents and automations
- Repetitive tasks handled end to end, with a human in the loop.
What changes
- Answers in seconds instead of a ticket to the data person.
- AI you can trust, because it runs on governed definitions.
- Your team freed for the work that needs judgment.
If you care about data being done right, Dorian is the guy. We now have full visibility into the numbers that matter.
Alex StoykovFounder, Olifant DigitalQuestions we get
Which AI models do you use?
Claude, OpenAI or others, chosen per use case.
Is our data safe?
It stays in your cloud. We set access rules before anything goes live.
Can we start with AI if our data is messy?
We start with the foundation, then add AI. It's faster than fixing a broken AI later.
Related reading
More on this from the blog.
Data Strategy
Data Platform for Small Businesses: A Simple Stack That Works
The four-layer data platform we recommend to small and mid-size businesses: managed ingestion, one warehouse, dbt and a BI tool your team will actually open.