DATA PROJECTS
One problem. The right team. Delivered, not just advised.
Bring us a defined data challenge. We’ll understand what is broken, determine what needs to change and deliver the working system — without turning every problem into a transformation programme.
We size the solution to the problem — not the other way around.
A messy business problem rarely maps to a single service. We work out which disciplines it actually touches, then build only what the outcome needs.
Problems we can own.
“Our systems don’t agree.”
Reconcile finance, CRM, billing and operational data into a reliable view of the business.
“We’re still reporting manually.”
Replace recurring spreadsheets and hand-built management packs with automated reporting.
“Nobody trusts the dashboard.”
Audit the underlying logic, definitions, model and source data before rebuilding the reporting layer.
“We need a proper data foundation.”
Build the ingestion, warehouse, transformations and models required for reliable analytics.
“We have the data but can’t answer the question.”
Design an analysis around a commercial, financial, product or operational decision.
“Our BI estate has become a mess.”
Simplify reporting, standardise metrics and reduce duplicated or contradictory dashboards.
Defined enough to manage. Flexible enough to solve the real problem.
Diagnose
Understand the question, current environment and constraints.
Define
Agree the outcome, acceptance criteria and important dependencies.
Build
Design and implement the engineering, analysis and reporting required.
Validate
Reconcile outputs, test logic and validate results against source systems.
Transfer
Document how the system works and what your team needs to operate it.
We don’t sell complexity for its own sake.
Sometimes the right answer is a new data platform. Sometimes it is three SQL models, a reliable metric definition and one excellent dashboard. Our job is to solve the problem at the level it actually exists.
Solve it at the level the problem lives.
Have a defined data problem?
Tell us what isn’t working yet. If it’s still fuzzy, a Data Diagnostic is the right first step.