Data your teams trust enough to act on
We settle the definitions, build the platform your teams work from, and stay until the numbers are in the reports people already open. One definition per metric, one place the data lives, and your own engineers running it.
What we do
Start from the decisions you want to make differently and work back to the data they need, and who owns it. You leave with a data agenda your leadership can fund, in phases, with an owner against each step.
- Data Maturity AssessmentSee how far your platform, governance and adoption are from what your plan needs.
- Use Case PrioritisationFind out which business decisions are worth improving with data first, and why.
- Data GovernanceSet clear rules for who owns each dataset, so an audit holds up.
- Operating ModelChoose between a central, federated or embedded data team, and decide who staffs it.
Your organisation decides what the platform has to make possible, and our data engineers build it with yours, so the skills stay in-house. When we leave, your team runs it and keeps developing it.
- Data PlatformGive your teams one place for their data, sized to what they need.
- Data EngineeringBring data in and model it so your analysts can read it without help.
- MigrationMove off legacy stacks without a gap in the reporting your business depends on.
- Handover & TrainingLeave your team able to run and develop the platform without us.
Tracking that survives a replatform and a change in consent rules, and one set of numbers product and marketing agree on, across brands and markets. With the numbers settled, the discussion moves to what to do next. Our analysts can also work inside your team in a line role while you build your own.
- Tracking & InstrumentationDesign events once, so tracking keeps working through redesigns and platform changes.
- Server-Side & ConsentKeep collecting the data you need within GDPR and your users' consent choices.
- ExperimentationRun A/B tests on solid infrastructure and read every result the same way.
- Product AnalyticsTrack funnels, cohorts and retention in reports your own team owns and updates.
Every trade-off is written down with the reasoning behind it, so you get a target design your engineers can defend to the board and to the next vendor.
- Reference ArchitectureSet a target state, sequenced in steps, with every trade-off written down.
- Cloud & Cost DesignSize your cloud to the workload and see exactly where the spend goes.
- Integration DesignDecide how ERP, CRM, PIM and commerce share data, and who owns each flow.
- Migration SequencingPlan the cutover, the dual run and the way back before anything moves.
- Security & ResidencyKeep data in the right country, with access, keys and audit trail designed in, and open only to those who need it.
Every report is tied to a decision and to the person who makes it, and every metric is defined once so finance and marketing read the same number. The work is finished when the spreadsheets it replaced are switched off.
- Reporting DesignDefine each metric once and get every function to agree on it.
- Self-Service BILet teams answer their own questions without waiting for an analyst.
- Automated ReportingGet management reporting that assembles itself from your source systems every period, across every entity that reports into the group.
- AdoptionRoll out new reporting so people use it and the old spreadsheets go.
We connect the customer profile to your campaigns and your service desk, with consent built in from the start. Every activation is measured against what it moved, in the channels where your customers meet you.
- CDP ImplementationRecognise the same customer in every system and every market, so every channel speaks to one person.
- Audience & SegmentationLet marketing build the segments it needs without raising a ticket.
- Channel ActivationSend the same audiences into paid media, CRM and your own site.
- MeasurementProve what each activation changed in the numbers your business already tracks.
Cases
