Definitions before dashboards
We agree on metric definitions and ownership before a single chart is built.
One set of numbers your leadership team agrees on — modelled, reconciled and delivered as dashboards people actually open.
We start with the decision you need to make and build backwards to the data.
Pipelines validate against source systems, so reporting survives board-level scrutiny.
Built on your warehouse and BI tools, documented so your team can extend it.
We turn scattered operational data into a governed intelligence layer — modelled, reconciled and surfaced where decisions are actually made.
Method
We agree on metric definitions and ownership before a single chart is built.
Pipelines validate against source systems so numbers survive scrutiny.
Intelligence is delivered inside working tools, not parked in a portal nobody opens.
Outcomes
We start with a structured discovery session, map the constraint, and return a delivery plan with milestones, owners and measurable acceptance criteria.
Questions
Straight answers on cost, timelines and how we work — so you can decide quickly.
No, it is the normal starting point. Reconciliation and data-quality work are part of the engagement, not a prerequisite.
Postgres, BigQuery, Snowflake, dbt, Metabase, Looker and Power BI — matched to your team's existing skills.
A first executive dashboard on a defined metric set typically lands within three weeks.
Yes. Once the base data is trustworthy we add forecasting and anomaly detection on top of it.