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Services

Four practices. One outcome.

Every engagement is designed to answer a question your organisation actually needs answered — and to leave you able to answer it again without us.

Practice 01 — Advisory

Data & analytics strategy

A short, sequenced plan that starts from the decisions you need to make — not from a maturity model.

Most data strategies fail because they are written for a framework rather than a business. We build the opposite: a pragmatic, funded plan anchored to the questions your leadership team is already asking — and to the evidence you do not yet have.

What you get

  • Analytics maturity assessment against your sector
  • Target-state architecture and operating model
  • Prioritised use-case portfolio, scored on value and feasibility
  • 12-month roadmap with sequencing, owners and cost
  • Board-ready business case and success measures

Good fit if

  • You have plenty of data but cannot get a straight answer from it
  • Two teams report different numbers for the same metric
  • You have been asked to “do AI” and need a credible plan
  • A merger, system change or regulation is forcing a reset
4–8 weeks Fixed fee Executive sponsor Remote + on-site
Practice 02 — Build

AI & automation

Practical AI that removes a specific piece of friction — and proves itself on your data before it scales.

AI earns its keep when it removes a specific piece of friction: a document nobody wants to read, a forecast that is always wrong, a queue that never clears. We find those points, build a working prototype on your data, and only productionise what proves itself.

What you get

  • Opportunity scan: 10–15 candidate use cases, scored
  • Retrieval-augmented assistants grounded in your own documents
  • Forecasting and classification for demand, risk or service
  • Workflow automation with human review and audit trails
  • Model evaluation, guardrails and an operating runbook

Good fit if

  • A process is slow because people re-key or re-read information
  • Forecasts are made in spreadsheets and defended by intuition
  • A vendor has proposed AI and you want an independent view
  • You need a defensible pilot before a larger commitment
6–12 weeks Milestone-based Your cloud, your data Handover included
Practice 03 — Build

Analytics engineering & BI

The unglamorous layer, built properly — so the numbers on the screen survive scrutiny.

A dashboard is only as good as the pipeline behind it. We build the layer most projects skip — modelled, tested and documented — so every team uses the same definition and your reporting stops being a negotiation.

What you get

  • Cloud warehouse design on BigQuery, Snowflake or Redshift
  • Ingestion and transformation pipelines with data tests
  • A semantic layer with governed KPI definitions
  • Executive and operational dashboards people use weekly
  • Documentation, lineage and a support runbook

Good fit if

  • Reporting takes days and still gets challenged
  • Every team has its own version of the truth
  • Analysts spend more time fixing data than analysing it
  • You are moving off spreadsheets or a legacy BI tool
6–10 weeks Milestone-based Platform-agnostic Team enablement
Practice 04 — Advisory + Build

MarTech & customer data

One recognition of the customer across marketing, sales and service — and spend you can trace to an outcome.

Customers do not experience your org chart. We connect marketing, sales and service data so the same person is recognised everywhere — and so every campaign can be traced to revenue rather than estimated in a slide.

What you get

  • Salesforce Sales and Service Cloud, plus Marketing Cloud delivery
  • Customer data platform and identity-resolution design
  • Consent, preference and data-quality controls
  • Campaign measurement, attribution and lifecycle reporting
  • Vendor selection and implementation oversight

Good fit if

  • Marketing and sales report different customer counts
  • Personalisation stops at the campaign, not the person
  • You are consolidating tools after growth or acquisition
  • Attribution is assumed rather than evidenced
Strategy to delivery Salesforce · Google Cloud Multi-market

Engagement models

Start small. Stop anywhere.

Three ways to work together, each with a defined scope and a clear decision at the end. Most engagements begin with the diagnostic.

Diagnostic

Find the decision worth improving

Interviews, a data audit and a prioritised shortlist of opportunities — with a costed recommendation you can act on or put down.

2–3 weeks · Fixed fee

Build

Deliver a defined outcome

A model, a pipeline, a dashboard or an automation, delivered in milestones on your stack alongside your team.

6–12 weeks · Milestone-based

Advisory

Senior counsel, on call

Ongoing support for a leader or team: steering groups, vendor reviews, hiring help and independent assurance.

Retainer · 1–2 days/week

Not sure which fits? The first conversation is free — and if I am not the right person, I will say so.

Next step

Tell me what you are trying to decide.

A 30-minute call is usually enough to know whether there is a fit, and what a sensible first step would look like.