Data architecture that makes your numbers dependable.

Architecture structured around the questions you need answered.

Many growing companies find their data fragmented across Stripe, Shopify, HubSpot, QuickBooks, inventory databases, and dozens of manual spreadsheets. Each tool tells a slightly different story, leaving leadership guessing which figure is accurate.

We design a dependable data foundation in an environment that fits your needs, with documented transformations and quality checks appropriate to the data and decisions involved.

• 01
  Cloud Data Warehouses & Ingestion

  We select and configure a managed warehouse or database to fit your scale, existing cloud, and operating needs. Scheduled or event-driven pipelines bring data in from the systems that matter and reduce repetitive manual exports.

• 02
  Data Modeling & Automated Quality Tests

  Version-controlled transformations turn raw source tables into documented business concepts, such as a unified customer or net margin. Automated checks can flag selected schema changes and data-quality issues for investigation.

• 03
  Executive Dashboards & Visual Analytics

  We design visual reporting around specific questions (cash trajectory, customer retention, margin by product line, or sales pipeline movement) so each view has a clear purpose and definition.

• 04
  Commercial Data Science & Forecasting

  Statistical analysis and forecasting for questions such as demand planning, retention, and seasonal revenue. We make assumptions visible and use uncertainty ranges or sensitivity analysis where they are meaningful.

Make the work around decisions lighter.

When the underlying data is hard to trust, planning meetings become reconciliation exercises, finance teams spend time assembling retrospectives, and operational issues can be harder to spot. These are common places to start.

• Issue
  Conflicting source figures

  A typical response is to centralise relevant source data and apply agreed, documented business logic so the same definitions can be used across reporting.

• Issue
  Manual weekly reporting drag

  A scheduled pipeline and recurring brief can reduce repetitive preparation, while leaving the team in control of what is reviewed and distributed.

• Issue
  Hidden margin and cash leaks

  A unit-economics model can bring marketing spend, product cost, shipping overhead, and merchant fees into one view, making assumptions available for discussion.

Start with an architecture review.

We start by understanding your current systems, data flows, and the decisions they need to support. From there, we can outline a practical first step and whether a focused engagement is the right fit.

Book a consultation →