Product

Data Warehouse Stack

One source of truth for every KPI across your business.

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Demo video

See how we work

A short look at our delivery process.

Syncs with the tools you already run

  • Salesforce • Zoho CRM • Microsoft Dynamics • HubSpot • Pipedrive • Zoho One • Google Sheets • Airtable •

About

Data Warehouse Stack in plain terms

Data Warehouse Stack is a modern analytics stack on Snowflake or BigQuery with dbt and a BI layer. We stand up a warehouse, model your data with dbt and put live dashboards in front of leadership — scoped, fixed, and delivered on a schedule you can plan around, with your team trained and running from day one.

Fixed scope and fixed price — no open-ended retainers

A clear timeline with milestones you can hold us to

Handover, documentation and training included

Features

What's included

The building blocks of every Data Warehouse Stack engagement.

01

Warehouse setup

Snowflake or BigQuery provisioned, secured and cost-controlled.

02

Source ingestion

Pipelines from your app database, CRM, finance and marketing tools.

03

dbt modelling

Tested, documented transformations into clean, trusted tables.

04

BI layer

Dashboards in the tool your team already uses.

05

Metrics definitions

Every KPI defined once, in code, so numbers agree everywhere.

06

Handover

Documentation and training so your team runs it.

How it works

How a Data Warehouse Stack engagement runs

A predictable path from kickoff to live.

01

Scope sources & metrics

We agree the systems to ingest and the KPIs that matter.

02

Ingest & model

Pipelines land raw data; dbt models it into trusted tables.

03

Build dashboards

Leadership views built and validated against source systems.

04

Hand over

Docs, tests and training so the stack is yours.

Benefits

Why teams choose this

Outcomes, not hours.

One source of truth

Every KPI defined once and consistent across every report.

Live, not monthly

Dashboards refresh automatically instead of manual exports.

Trusted numbers

dbt tests catch broken data before anyone sees it.

Fixed 6–12 weeks

A defined setup with a fixed $15k–30k price.

Before / after

Before and after

Before

Numbers rebuilt in spreadsheets monthly

Every team reports a different figure

No test on the data

Analysts stuck doing extracts

After

Dashboards that refresh automatically

One defined metric layer in code

dbt tests flag issues before reporting

Self-serve dashboards for leadership

FAQ

Frequently asked questions

Snowflake or BigQuery — which?

What sources can you ingest?

What sources can you ingest?

Why dbt?

Why dbt?

Which BI tool do you use?

Which BI tool do you use?

Can our team maintain it?

Can our team maintain it?

What does it cost?

What does it cost?