Different systems tell different stories.
Customer, product, finance and operational identifiers do not align, so teams debate the fact base instead of the action.
02 / Data & analytics
One fact base. Sharper commercial decisions.
Messy, disconnected records become a usable model of customers, revenue, margin and operating performance.
We link data that was never designed to meet, keep only what the decision needs and expose the commercial drivers inside the detail. A practical interim solution can prove the value quickly; where engineering depth is needed, we help shape the long-term build.
Discuss this offerWhen this matters
The symptoms are visible.
The cause usually crosses functions.
Customer data is present but commercially silent.
The business cannot see price, volume, mix, retention, whitespace or one-off effects in one coherent view.
The dataset has become unmanageable.
Volume and complexity create technical noise, while the small number of fields that matter remain hard to use.
What we do
Build the answer into the way work moves.
Scope follows the question. These workstreams show the practical range, not a mandatory sequence or a technology programme.
Source and metric reconciliation
Define the decision, trace the relevant records and resolve the identifiers, timing and definitions that prevent a single view.
Practical data model
Extract, transform and connect only the information needed for the first use case, with a clear route from temporary proof to durable architecture.
Customer and revenue intelligence
Break growth and margin into price, volume, mix, new, lost, retained, cross-sell and one-off drivers at the level where action is possible.
Analytics into action
Turn the model into management views, opportunity lists and review routines with named owners and visible follow-through.
What you leave with
Useful on the next working day.
Every output is designed to survive contact with the operation: traceable evidence, clear owners and an agreed routine for use.
- 01Source map and agreed metric dictionary
- 02Connected decision-ready data model
- 03Customer, revenue and margin analysis
- 04Reusable views, opportunity queues and user training
Choose the right depth
Start focused. Stay through implementation if the value is there.
Opportunity Brief
Frame the question, locate the evidence and identify the first decisions worth testing.
Answer build
Create the analysis, model, process, workflow or management view needed to act.
Delivery support
Work alongside owners until actions, controls and management routines are operating.
Capability transfer
Equip users and leaders to maintain, challenge and improve the answer themselves.
Questions this work answers
Bring the question behind the numbers.
- Which customer and product combinations create value?
- What is growth made of?
- Where are price, volume or mix working against margin?
- What is the smallest reliable dataset needed to act?