Expertise · Data · Analytics · BI · Products · Training
Expertise built through delivery.
We help organisations engineer better data, measure what matters, optimise digital experiences and build modern software platforms that scale.
01Data Engineering
A single, governed foundation the whole organisation can rely on.
Most reporting problems are pipeline problems. We build the ingestion, modelling and governance layer as production software: tested, versioned and observable, so a number can be traced back to its source and defended in a board meeting.
Numbers that survive scrutiny
Lineage, tests and documented definitions ship with the pipeline, not after it. Finance, operations and marketing stop arriving at meetings with three different revenue figures.
Time returned to the business
Manual extracts, spreadsheet stitching and month-end reconciliation are replaced by scheduled, monitored pipelines that fail loudly rather than silently.
A platform that can carry what comes next
Warehousing and modelling designed so analytics, experimentation and AI can be added later without a rebuild, because the grain, keys and history were right the first time.
Foundations
- Data Warehousing
- Cloud Data Platforms
- Data Pipelines
- ETL / ELT
Structure
- Data Modelling
- SQL Engineering
- APIs & Integration
- Data Governance
Typical engagement: a data strategy and warehouse design that consolidates fragmented source systems into one modelled layer.
02Digital Analytics & Optimisation
Understand what customers actually do, then change the outcome.
Digital analytics is where most organisations have the most data and the least confidence. We design measurement from the decision backwards: what question needs answering, what event proves it, and how it is captured consistently across every surface. Then we use it to find and fix the friction that costs revenue.
Measurement you can trust
A documented tracking plan, a deliberate data layer and a tagging estate that survives releases, so a drop in conversion is a business signal rather than a broken tag.
Journeys understood end to end
Funnel, journey and behavioural analysis that shows where intent is lost, which segments behave differently, and what the drop-off is worth in revenue terms.
Decisions settled by evidence
Experimentation designed with the right metric, power and guardrails, so a result is acted on with confidence rather than argued over.
Platforms
- Google Analytics 4
- Adobe Analytics
- Amplitude
- ContentSquare
- Dynamic Yield
- Statsig
Measurement design
- Measurement Strategy
- Tracking Plans
- Event Design
- Data Layer Design
- Tagging Audits
- Analytics Audits
Analysis & optimisation
- Customer Journey Analysis
- Funnel Analysis
- Behavioural Analytics
- Experimentation
- A/B Testing
- Conversion Optimisation
- Deep Dive Analysis
- Digital Performance Reviews
Typical engagement: an analytics audit and re-tagging programme followed by checkout optimisation and a structured experimentation roadmap.
03Business Intelligence & Reporting
Reporting built around the decisions leaders actually make.
A dashboard is the last mile, not the strategy. We define the KPI framework and semantic model first, one definition per metric, owned and documented, and only then design the surfaces that executives, operators and boards read each week.
One definition, used everywhere
A semantic layer that makes a metric mean the same thing in a board pack, an operational report and an ad-hoc query.
Reporting that runs itself
Automated distribution and refresh replaces the monthly scramble, freeing analysts to answer questions rather than assemble slides.
Answers at the level each audience needs
Executive views that show direction and exceptions; operational views detailed enough to act on the same day.
Surfaces
- Executive Dashboards
- Operational Reporting
- Board Reporting
- Performance Reporting
- Automated Reporting
Foundations
- KPI Frameworks
- Semantic Models
- Decision Support
- Power BI
- Looker Studio
Typical engagement: an executive reporting rebuild on a governed semantic model, replacing a set of divergent spreadsheets.
04Digital Products & Automation
Insight only counts once it changes the work.
We design and build the internal platforms and digital products that put governed data in front of the people doing the job, and automate the routing, approvals and handovers that currently live in inboxes. Built as production software, with the audit trail included.
Process executed by the system
Workflow, ownership and escalation encoded once, so nothing depends on someone remembering to forward an email.
One place to do the work
Case management, portals and operational systems that replace the spreadsheet-and-shared-drive layer most teams quietly run on.
Software that fits the organisation
Bespoke where the process is a genuine differentiator; integrated with existing platforms everywhere else.
Platforms
- Internal Platforms
- Operational Systems
- Case Management
- Portals
- CRM
- Business Applications
- Web Applications
- Workflow Automation
EchoBridge Admin, our own operations platform, came out of this work: governed data, reporting and workflow in one place, and the same approach we apply to client platforms.
05Training & Capability Building
Leave the organisation able to do the work without us.
The best outcome of an engagement is a team that no longer needs one. We build capability in place, on your own data and your own platforms, so analysts, marketers and product owners can interrogate, question and extend the work themselves rather than raising a ticket.
Capability, not a course
Sessions are built around your tracking plan, your warehouse and your reporting estate, so what is learned on the day is used in the same week.
Confidence at every level
Executives learn what a metric can and cannot tell them; analysts learn the modelling, SQL and measurement design behind it. Both leave speaking the same language.
Adoption that holds
Documentation, definitions and enablement built into handover, so dashboards get used, experiments get run properly and standards outlast the engagement.
Analytics platforms
- Google Analytics 4
- Adobe Analytics
- Amplitude
- ContentSquare
- Dynamic Yield
- Statsig
Data & reporting
- BigQuery
- SQL
- Power BI
- Looker Studio
Practice & standards
- Analytics Best Practice
- Measurement Strategy
- Experimentation
- Dashboard Adoption
Typical engagement: a capability programme for a marketing and analytics team, combining GA4 and BigQuery workshops on live data with a measurement strategy playbook and an experimentation review cadence.
06How we work
A short path from question to production.
The same consultant leads each stage, so context is never lost in a handover. Work is sequenced so the first release earns the trust, and the budget, for the next.
01
Discover
Understand the decisions being made, and where the current answer comes from.
02
Assess
Audit the data, tracking and reporting estate honestly, including what should be retired.
03
Design
Define the measurement, model or platform before anything is built.
04
Build
Ship as production software: tested, documented, observable.
05
Measure
Compare against the baseline agreed at the start, not a vanity metric.
06
Improve
Iterate with experimentation and deep-dive analysis where the value still sits.
07Technology stack
Tools chosen for the problem, not for the logo wall.
We work fluently across the modern measurement, data and product stack, and we are equally willing to recommend the smaller, cheaper option when it is the right one.
Measurement & experimentation
- GA4
- Adobe Analytics
- Amplitude
- ContentSquare
- Dynamic Yield
- Statsig
Data & reporting
- BigQuery
- SQL
- Python
- Power BI
- Looker Studio
Platform & product
- Supabase
- Azure
- Vercel
- React
- TypeScript
Applied AI
- Claude
- OpenAI
What business question are you trying to answer?
Start there, and we'll tell you honestly what it would take to answer it properly, and whether you need us to do it.