Map
We inventory your sources, define every metric once, and write a one-page spec you sign off before anything is built.
Years building production data systems
Hours saved per week, per client, on reporting
Happy teams running on our backends
Production dashboards shipped to clients
— 01Sound familiar?
Most clients hit at least three.
Meta
Google Ads
GA4— 02How we work
Not a menu of services — a sequence. You always know what happens next.
We inventory your sources, define every metric once, and write a one-page spec you sign off before anything is built.
Pipelines into a warehouse you own — BigQuery, Snowflake or Postgres. dbt models reconcile spend, revenue and conversions across platforms. Custom connectors where none exist.
One dashboard across every channel, client and brand, refreshed daily before your team starts. Every metric defined in a shared dictionary.
Monitoring, API changes, new sources and clients, new dashboards — a monthly retainer that works like your in-house data team, minus the hiring.
— 03The stack
Tool-agnostic. We recommend what fits, not what we resell.
— 04In their words
+ 11 other teams running on Dublo.
Read the case studies— 05Who you'll work with
Four-plus years building analytics for marketing agencies, e-commerce brands and SaaS teams. I run Dublo because most "data teams" sell dashboards and walk away from the pipeline that feeds them. I do the opposite — I own the boring part, so the dashboards stay true.
Every engagement is scoped upfront, priced fixed, and built in your environment — your BigQuery, your Looker workspace, your dbt repo. When we're done, you own everything. If you ever bring it in-house, my final month is documenting it for your new hire.