New delivery
Start a focused analytics engineering initiative with architecture, implementation and quality considered together.
Data, AI & automation
Analytics engineering services
Trusted analytical models and metrics that connect source data to decision-ready insight.
What is included in our analytics engineering service.
A practical discovery reviews transformation with dbt-style workflows, semantic and metric modelling, data testing and documentation alongside the current environment, delivery risks and ownership boundaries.
- Transformation with dbt-style workflows
- Semantic and metric modelling
- Data testing and documentation
- BI-ready data products
Where analytics engineering support adds value.
Use analytics engineering for a defined outcome, a specialist gap or an improvement programme with evidence agreed before delivery begins.
Capability extension
Add analytics engineering expertise to an established product or engineering team.
Improvement programme
Address technical debt, delivery friction or operational risk within an existing analytics engineering estate.
How we plan analytics engineering delivery.
Planning connects the analytics engineering scope to reviewable deliverables, quality evidence, system interfaces and a maintainable handover path.
Assess the context
Review the users, architecture, constraints and existing ownership that affect analytics engineering.
Define evidence
Agree analytics engineering deliverables, interfaces, acceptance signals and the risks that need early validation.
Deliver visibly
Review analytics engineering increments with the responsible product and technical stakeholders.
Transfer ownership
Document analytics engineering decisions, operational needs and maintainable paths for the team that will own the result.
Related data, ai & automation paths.
Connect analytics engineering to the people, technologies and engagement model needed to deliver it.
Related
Data & AI roles
Connect analytics engineering delivery to the relevant specialists and operating context.
View details →RelatedData & AI technologies
Connect analytics engineering delivery to the relevant specialists and operating context.
View details →PlanEngagement models
Choose a commercial structure that matches scope uncertainty and ownership.
View details →Discuss analytics engineering services.
Share the current environment, the analytics engineering change you need and where ownership should sit.