The pack shows the total and never the reason
Leadership sees that margin moved but not whether it was price, volume, mix, a lost account or a one-off, so the discussion stops at the number.
Analytics layer
Reporting that explains why a number moved, not just that it did
Reporting built on top of the joined data, aimed at the few revenue and cost drivers that actually change the result.
Joined data earns nothing until somebody asks it a commercial question. We start from the drivers that matter in your sector, break performance into components a manager can act on, and put the result where the work happens rather than in a dashboard nobody opens. We measure this by whether a decision changed, and we will ask you that question three months later.
Discuss this buildWhen this comes up
What this usually looks like from the inside.
Every new question becomes a new project
Anything the pack was not designed for means another manual extract and another fortnight, so most questions quietly stop being asked.
The dashboards exist and nobody opens them
Reporting was built around what the data could show rather than the decision somebody has to make on Monday morning.
The work
The work, step by step.
Scope varies with the state of your systems. These are the parts that recur.
Commercial framing
We establish which revenue and cost drivers are worth answering in your business, and drop the reporting that serves no decision.
Driver decomposition
We split growth and margin into price, volume, mix, new, lost and one-off effects, at the level where somebody can act on them.
Management reporting
The views your CFO and operating leads actually use, built around decisions rather than around available data.
Exception queues
Ranked lists of the accounts, products or sites that need attention this week, with a named owner against each.
What you leave with
Everything you keep.
You own all of it: the code, the written definitions and documentation aimed at whoever maintains this after us.
- A driver tree for revenue and cost
- Management reporting built on the joined data
- Margin, customer and mix analysis
- Exception queues with named owners
How this runs
Scope, timescale and what happens afterwards.
Roughly the first week
We establish which commercial question is worth answering here, and what your data, systems and people can realistically support.
The bulk of the engagement
We build it, rather than specifying it for somebody else to build. Reconciled continuously against numbers your team already accepts.
The final fortnight
Documentation, definitions and a runbook, plus a walkthrough where your team drives and we watch.
Only if you ask
Ongoing technical support is quoted separately from the build, so declining it costs you nothing.
Worth asking
Questions this tends to answer.
- What is growth actually made of?
- Where are price, volume or mix working against margin?
- Which customers make money and which cost money?
- What should be reviewed every week?