Data & Analytics, the layer underneath everything

Every modernization programme
is a data programme.

Data sits underneath modernization, AI, enterprise systems, reporting and business transformation. It has been a quiet capability inside our other work, and it is now a practice with its own story.

01 · The data journey

Seven stages,
one data journey.

From the first question to governed, AI-ready data. Seven stages, each with its own exit gate.

Diagnose & FramingStage 01

How data is produced, used, ignored and lost across your teams. We frame where the real leverage is before anything is scoped.

Strategy & ArchitectureStage 02

A target picture of data products, platforms, owners and standards that the rest of the programme can steer by.

Engineering & IntegrationStage 03

Pipelines, connectors and enrichment that make clean data arrive somewhere useful, on a schedule you can rely on.

Warehousing & DeliveryStage 04

One governed warehouse or lakehouse that turns messy sources into reliable, queryable tables.

Analytics & ProductizationStage 05

Dashboards, scorecards and self-serve datasets people actually use, not another report on the shelf.

Governance & StewardshipStage 06

Ownership, quality rules and traceability that stop the data foundation from quietly rotting.

AI-ready FoundationsStage 07

Clean, labeled, versioned data feeding models, agents and automation without data science heroics.

02 · Capability areas

Nine areas,
one source of truth.

The full surface of data work. Delivered as one coordinated motion, or in slices that hold together.

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Data Strategy & Architecture

Where data lives today, where it should live, and the target architecture that gets you there without a rewrite.

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Data Engineering & Integration

Connectors, pipelines and transformations that join systems that do not talk to each other today.

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Warehousing & Data Platforms

Governed warehouses and lakehouses that become one reliable place to ask questions.

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Data Quality & Governance

Rules, owners and traceability so the numbers survive contact with people and systems.

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Master Data Management

One version of customer, product and supplier data that every system reads from.

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Analytics & Business Intelligence

Reporting layers and self-serve surfaces that change how decisions actually get made.

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Cloud Data Platforms

Lift, re-platform or rebuild on cloud data services without losing history or lineage.

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Data Migration

Moving data between systems with mapping, validation and a clear story for what changed.

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AI-ready Foundations

Structured, labeled, versioned data prepared for models, agents and automation.

03 · How we engage

Six fields,
added to your team.

Data is a craft with six fields. We bring whichever of them your situation needs.

Three ways we show up

Embedded teamEngagement

Data engineers and analysts sitting inside your delivery team, accountable alongside you.

Deliverable-basedEngagement

A negotiated result, shipped on a date. A warehouse, a migration, a data product.

Same-day engagementsEngagement

Focused workshops and sparring on a known problem, in a room or on a call.

Six fields of expertise

Strategy
EngineeringGovernance
AnalyticsAI-readinessOperations
04 · Where data shows up

Underneath every
project we run.

Data is the through-line of the four service groups. Here is where you already meet it.

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Build & Run

New products and platforms are built on clean data foundations from day one, with the real-time feeds embedded.

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Protect

Security reviews and governance give data the guardrails it needs before it becomes valuable.

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◱

Modernize & Connect

Every modernization is a data migration. The system changes, the data must survive it.

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◔

Grow

New markets, propositions and brands run on the analytics that say what to do next.

Explore →
Data & Analytics · start with the question

Start with the
data question.

A 90-minute framing call on where your data helps and where it hurts, before any scoping starts.

Start the conversation →