Advisory Services
Strategy that connects to delivery. Our advisors are engineers who have built the systems they advise on — so the guidance is grounded in what actually works.
Why advisory first?
The most expensive data projects are the ones that start building before the architecture is settled. An advisory engagement — typically two to four weeks — de-risks delivery by aligning the team on what to build, in what order, and on which platform. When you're ready to build, the delivery engagement starts from a finished design rather than an open question.
Advisory engagements
Data Maturity Assessment
A structured assessment of your current data estate — people, processes, tooling, and governance. We produce a prioritised roadmap tied to your business outcomes, not a generic maturity model.
Cloud Platform Selection
Objective evaluation of Databricks, Snowflake, Microsoft Fabric, BigQuery, and Redshift against your workloads, team skills, and commercial constraints. We don't resell licences.
Architecture & Design Review
A deep technical review of an existing or proposed data architecture. We identify risks, anti-patterns, scalability concerns, and quick wins — with a written report and prioritised recommendations.
AI / ML Readiness Assessment
Is your data estate ready to support ML and LLM-powered products? We evaluate data quality, lineage, governance, and infrastructure against the requirements of the AI use cases you want to pursue.
Start with a conversation.
Tell us what you're trying to solve and we'll recommend the right advisory engagement to get you moving.
Discuss a project