Data Strategy
Consulting

Organisations rarely fail for lack of data. They fail because they don't know which questions to ask, or which data actually answers them. We help leadership teams build clarity before they build infrastructure — so every pound of analytics investment is pointed at a decision that matters.

What you get
  • Data maturity assessments
  • Analytics roadmaps
  • Build vs. buy frameworks
  • Executive data-literacy programmes
Ideal for

Organisations in transition: post-acquisition integration, scaling teams, or moving from ad-hoc reporting to systematic analytics.

Example outcome
Reporting tool sprawl Before vs. after the operating model 9 2 Before After Tool consolidation −78% fewer tools

A specialty retailer collapsed nine overlapping reporting tools into two governed platforms.

Typical engagement

A 4–8 week diagnostic — interviews, data audit, and a prioritised roadmap — followed by an optional phase to stand up the first capability.

Analytics Engineering
Technical

Good analysis requires good foundations. We design and build data pipelines, semantic layers, and transformation logic that are tested, version-controlled, and easy for the next analyst to understand. The result is a single source of truth your whole organisation can rely on.

What you get
  • dbt model libraries
  • ELT pipeline architecture
  • Data-warehouse design
  • Metric / semantic layer
Typical stack
dbtSnowflakeBigQueryFivetranAirflow
Example outcome
Pipeline runtime Nightly refresh, minutes 360 40 Before After Faster refresh −89% 6h → 40m

Re-architecting a tangled warehouse took the nightly refresh from six hours to forty minutes.

Typical engagement

Typically 8–16 weeks to design and ship a production pipeline, with your team paired in throughout so they own it from day one.

Machine Learning
Applied AI

We build models that solve specific business problems — not proofs-of-concept that live in a notebook. Our focus is on models your team can monitor, retrain, and trust in production, with honest uncertainty and a clear line back to the decision they support.

What you get
  • Demand & revenue forecasting
  • Customer segmentation & LTV
  • Churn & propensity scoring
  • Anomaly & fraud detection
What we ship

Deployed endpoints, monitoring dashboards, retraining pipelines, and handover documentation — not notebooks.

Example outcome
Forecast accuracy Out-of-sample, post-deployment 95% accuracy Forecast accuracy 94.7%

A hierarchical demand model reached 94.7% out-of-sample accuracy and held it in production.

Typical engagement

A short feasibility spike to de-risk the problem, then 10–14 weeks to build, validate, deploy, and hand over a monitored model.

Visualisation & Reporting
Communication

The best analysis in the world fails if nobody acts on it. We design dashboards and reports around the decisions they support — not around the data that happens to be available — so the right person sees the right number at the right moment.

What you get
  • Executive dashboards
  • Self-serve analytics portals
  • Automated reporting pipelines
  • Custom data applications
Tools
LookerTableauMetabaseEvidence
Example outcome
Dashboard adoption Weekly active decision-makers 31 86 Old New Adoption lift +55pp 31% → 86%

Rebuilding around real decisions took weekly dashboard adoption from 31% to 86% of leaders.

Typical engagement

6–10 weeks from decision-mapping workshops to a live, adopted dashboard — measured on whether people actually use it.

One architecture, four disciplines.

Our services aren't separate products — they're stages of a single, coherent system that carries raw data all the way to a decision.

Strategy decides what to build; engineering lays the foundation; machine learning and visualisation turn that foundation into decisions people trust. Most clients start with one stage — the architecture is what lets the next one slot in cleanly.

Three ways to work with us.

Every engagement is led and delivered by senior practitioners. The structure flexes; the seniority doesn't.

Embedded partnership

Ongoing retainer

For organisations building a sustained analytics capability. We work as a senior extension of your team — embedded in planning, hands-on in delivery — with a standing allocation of senior time each month.

Best for: scaling a function, or a roadmap with several connected initiatives.

Fixed scope

Project engagement

A defined problem with a defined outcome. We scope tightly, agree the measure of success up front, deliver completely, and leave your team better equipped than when we started.

Best for: a single high-value problem — a model, a pipeline, a decision system.

Advisory

Strategic advisory

For leadership teams navigating data decisions — vendor selection, team structure, platform architecture, or a second opinion on a plan already in motion. Counsel and direction, no delivery.

Best for: executives who need senior judgement, fast, without a build.

Not every client is the right fit.
Let's find out if we are.

Start a conversation