SERVICE 06 — DATA ANALYTICS

Analytics your operators will actually open.

A modern data stack — warehouse, modelling layer, dashboards — built so the people running the business can answer their own questions in seconds, not days.

Built for the teams who can't wait for results.

This engagement is for operators who already know they have a problem worth solving — and want a senior team to ship the fix in weeks.

  • Companies whose 'reporting' is a Monday-morning Excel ritual.
  • Founders flying blind because the engineer left and dashboards rotted.
  • Operators tired of waiting two weeks for ad-hoc analyses.

Deliverables

  • Warehouse, modelling layer and 5 production dashboards.
  • Tested, documented dbt models.
  • Operator training and a query-cookbook.
  • On-call runbook for failures.
  • 30 days of post-launch tuning.

A focused engagement.

Six things we ship inside this track. Some clients use a subset; most use all.

01

Warehouse

BigQuery, Snowflake or Postgres — sized to your data, configured for cost.

02

ETL / ELT

Fivetran, Airbyte or custom connectors. Sources unified into a single source of truth.

03

Modelling layer

dbt models for finance, sales, product and ops — versioned, tested, documented.

04

Dashboards

Metabase, Looker or Hex. Five core dashboards, designed for daily use, not month-end review.

05

Self-serve

We train your operators to write their own queries. Most are running independent analyses by week six.

06

Forecasting & cohorts

Cohort analysis, retention curves, simple forecasting models. The numbers your board will ask for.

How a typical engagement runs.

Async-first. Senior-only. Weekly demos.

01

Audit

Two days. We look at your sources, current dashboards, biggest unanswered questions.

02

Build

3–5 weeks. Warehouse → models → dashboards. Each milestone shipped to production.

03

Train

Two weeks of weekly office hours. Your operators learn to self-serve.

04

Maintain

Optional retainer: monthly schema review, model updates, new dashboards as the business evolves.

Numbers our clients care about.

5min
Avg. dashboard refresh
80%
Self-serve queries by month 3
4wks
Time to first dashboard
3x
Avg. velocity of decision-making

Pair it with another track.

Most clients combine two or three of these. We'll recommend the right combination on the first call.

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Common questions.

Five things people ask before signing.

Do you do machine learning?+

We model when it pays back. For most operators, ML is the wrong second step — basic forecasting and good dashboards drive 80% of the value.

Snowflake vs BigQuery?+

Both are fine. We pick by your existing stack and the data volume.

Will my engineers manage this after launch?+

Yes — we hand over with documentation. Many clients also retain us monthly for evolution.

How much does it cost?+

Build $20k–$80k. Warehouse + tooling is $200–$2k/month at startup scale.

Can you migrate from Mixpanel / Amplitude?+

Yes — we keep the product analytics intact and add the wider data layer around it.

Ready to ship?

Tell us what you're trying to do. We'll send a proposal within two business days.