Data & analytics consulting
Your own history, turned into the next decision.
Data & analytics consulting that forecasts demand, scores what is likely to churn, and picks the plan that costs least — from the data you already hold. Machine learning and optimisation that sit inside the decision, with one number everyone trusts behind them.
+6.1 pts · vs last-year-plus-growth rule
−71% · lines, last 4 weeks
−18% · stock held vs same quarter
7 flagged today · churn score > 0.7
A simulated morning. Yours is trained on the sales, stock and customer history you already hold, and runs on infrastructure we manage.
Decisions made on what is likely, not on what already happened.
The win is not a prettier chart. It is a reorder, a price or a retention call made in time — and a room that already agrees on the number behind it.
Not a gut feel, and not last year plus ten percent. What is likely to sell, by line, in time to order it.
The customers most likely to leave are scored and queued — before the cancellation email arrives.
Routes, rotas, reorders: the optimiser picks the plan that costs least and meets the service level you set.
The odd number shows up while you can still do something — not in the wash-up.
Finance, sales and ops are looking at the same figure behind the model. The meeting can start.
The model retrains on what actually happened and tells you when the world has drifted away from it.
Data & analytics consulting: models that sit inside the decision.
Forecasting, scoring and optimisation from the numbers you already hold. Examples of the gain, not a menu.
Demand forecasting
Sales, stock and supplier data turned into projected demand by line — and what to reorder this week.
Churn and risk scoring
Which accounts are likely to go, which invoices are likely to slip, which claims look off — ranked, with the reason.
Reorder and stock optimisation
The cheapest order plan that still hits your service level, with working capital freed as a number finance can check.
Scheduling and routing
Rotas, deliveries and appointments arranged by an optimiser rather than by hand — and re-solved when the day changes.
Pricing and promotion lift
What a price change or a promotion is likely to do to volume and margin, before you commit to it.
One number everyone trusts
The reporting layer underneath all of it: agreed definitions, a screen the board opens, a pack that writes itself.
Which method
Gradient boosting, a time-series model or a linear programme — we pick what fits the question, and we tell you why in plain English.
Which platform
Snowflake, Databricks, Fabric or a plain Postgres database. Chosen for your budget and your people, not for a vendor relationship.
Where it runs
On infrastructure we manage, in your environment — with an open model for anything that must not reach an outside provider.
How it stays honest
Backtested against what actually happened, retrained on a schedule, and monitored for drift so a stale model is caught before it costs you.
Who reads it
A screen the whole team can read and a decision queued for a person to approve. Nobody needs to learn a new craft.
You should not need a model opinion.
We choose the method, the platform and where it runs to fit your budget, your data and your people. You get a decision you can act on — not a shortlist of algorithms or vendors.
From scattered history to a model that stays sharp.
We start with the decision that would change a Monday, put the history into one clean story, train and test against what actually happened, and leave you a model that keeps itself current.
Not every number. The one order, call or plan that a better prediction would actually change.
Orders, stock, CRM, the spreadsheet — joined, cleaned and defined once, so the model learns from the truth.
Built against your own past and judged on what actually happened. If it does not beat the rule you use today, we say so.
Retrained on a schedule, checked for drift, and sitting inside the decision — not in a notebook on someone’s laptop.
Why does this pay for itself?
Stock is ordered against a forecast rather than a hunch. The accounts most likely to leave get a call before they do. The plan that costs least is picked by the optimiser, not argued over. The gain is better calls made earlier — with one number everyone trusts behind them.
This is one of four practices — alongside the product your team uses, hours back on repeating work and a plan for what to build first. Want the numbers acted on, not just seen? That is a job that runs itself.
Why does this pay for itself?
Meetings stop starting with a hunt through last week’s files. Reports stop taking Friday afternoon. A bad trend shows up while you can still do something. The gain is time and better calls — not a prettier chart.
Will the board actually use it?
That is the test. If they will not open it, we have not finished. We build the view they will look at — not a museum of charts.
Do we need a data team to keep it honest?
No. Your team reads the numbers. We keep them current. Nobody should be the person who “does the pack.”
What if two spreadsheets still disagree?
Then we have not finished. The point is one number everyone trusts — including finance.
Can we see next month, not only last month?
Yes. Demand, cash, churn — from your own history, in time to plan rather than react.
Will it use the systems we already pay for?
Yes. Accounting, CRM, shop, spreadsheets — pulled into one story. You should not have to switch platforms to see the truth.
Who owns the numbers?
You do. In your environment, behind a login, never on a shared platform. Cost is quoted after a short call.
Tell us the decision you’d like to get sharper.
Send a few details and we’ll set up a short call to scope it and give you a tailored quote. No obligation, no hard sell.