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One set of numbers everyone can agree on.

Most analytics problems are not chart problems. They are definition problems, pipeline problems, and trust problems. We fix those first, then build the dashboards people actually open.

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What this looks like

Four things we are usually asked for. Most engagements combine two or three of them.

Warehouse and pipeline build

Ingestion from your product database, CRM, billing and third-party sources into a warehouse modelled for the questions you actually ask.

A metric layer, agreed in writing

One definition of active user, revenue, churn and margin, stored in version control rather than in six different spreadsheets.

Dashboards people open

Built around decisions rather than available fields, with the two or three numbers that matter placed above everything else.

Data quality monitoring

Freshness, volume and schema checks that alert before a stakeholder notices the number looks wrong.

How an engagement runs

The same four stages on every project, whether it runs six weeks or six months.

Discovery

A two-week sprint with your team to map the problem, audit the data, and work out whether this is worth building at all.

Scope and estimate

A written plan with what we will build, what we will not, the timeline, and what it costs. No deck, no retainer trap.

Build

Two-week iterations with a working demo at the end of each. You see progress in the product, not in a status report.

Handover

Documentation, a walkthrough, retraining and deploy scripts, and a support window while your team takes over.

What clients get out of it

Figures from real engagements. We will walk you through the full context on a call.

9s → 0.8s

Median dashboard load after rebuilding the reporting layer for Meridian.

1 definition

Replacing eleven competing definitions of monthly active user.

4 days saved

Per month of analyst time previously spent reconciling reports by hand.

Tools we work with

We pick from these based on what you already run. Nothing here is mandatory.

  • dbt
  • Airflow
  • Snowflake
  • BigQuery
  • PostgreSQL
  • Spark
  • Power BI
  • Metabase
  • Looker

Tell us what you are building.

Send a few lines about the project. You will get a reply from an engineer within two working days.