Your team’s source of truth

Say the number.

Sales, finance and ops read the same figures. You can see the margin and the cash trapped in stock. Business intelligence is all we do.

Walk into any meeting sure of every number.

Prefer a two-minute self-audit? Free, no sign-up. Check your numbers

You

Why did margin drop last week?

Turing · grounded in your data

Margin fell to 21.8%, down 1.6pts. Nearly all of it is one thing: freight on the Benelux lane jumped 14% after the carrier surcharge on 28 Jun. Volume and pricing held.

sourced from Xerofreight ledger3 invoices · as of Tue 09:14

Ask a follow-up

will it recover in July?

Illustrative · sample data

The tools we connect

One version of the truth. Top floor to shop floor.

Sales · Finance · Operations · Warehouse · Marketing

Every team reads the same page in Power BI, Fabric or Zoho, whichever fits.

Now you just decide.

Fixed

price in writing before any build starts.

2 weeks

typical, to a first working dashboard: your first version, refined from there.

Yours

outright. Full handover. Walk away any time.

01What good looks like

The figures everyone already trusts.

Illustrative reporting use cases. Each shows the decision a commissioned dashboard can support; the scenarios are fictional.

Gross margin

71.3%

Orders · wk

1,638

Trend · last 9 wks
dashboard
Illustrative

Wholesale distributor

Sales, stock and margin. One review.

illustrative reporting use case

Compare sales and margin by product alongside stock levels, using agreed dates and definitions.

A distributor can use this reporting view to choose purchasing priorities and follow the records behind a margin change.

Gross margin

78.4%

Orders · wk

1,888

Trend · last 9 wks
dashboard
Illustrative

Warehouse & transport

Pick, dispatch and delivery in view.

illustrative reporting use case

Compare order accuracy and dispatch performance by warehouse, route and reporting period.

An operations team can identify the routes to review and allocate attention using an agreed refresh schedule and source checks.

Gross margin

63.5%

Orders · wk

2,046

Trend · last 9 wks
dashboard
Illustrative

E-commerce brand

Orders and ad spend in context.

illustrative reporting use case

Compare orders, refunds, payments and ad spend while keeping the reporting dates and attribution rules explicit.

An ecommerce team can review channel spend alongside collected revenue and agree which campaigns deserve a closer look.

·A working sample

What your numbers look like when they agree.

Compare quarters in a browser-built dashboard for a fictional distributor. Inspect the sample inputs and reconciliation below, then use the delivery scope to see what a commissioned report includes.

Meridian Supplies Co. · Wholesale distribution
Illustrative
FY2025 · management view
Revenue£3.59M+22.1% vs Q3
Gross margin40.2%of revenue, quarter to date
Open pipeline£2.48Mweighted, at quarter end
On-time delivery96.9%orders shipped on time
Monthly revenue · £k6-month trend
JulAugSepOctNovDec
Revenue by region · £k
North
£1,240k34.5% of rev
Midlands
£980k27.3% of rev
South
£840k23.4% of rev
Export
£530k14.8% of rev
Illustrative sample dashboard, not a real client report. Sample data for a fictional SME.
Check the sample figures: Q4

Inspect the monthly and regional inputs behind the selected quarter. This browser-built demonstration uses fictional aggregates; it illustrates reporting behaviour and validation checks.

Revenue from the three months
£3,590k
Oct £1,090k + Nov £1,180k + Dec £1,320k
Revenue from the four regions
£3,590k
North £1,240k + Midlands £980k + South £840k + Export £530k
Difference between the two totals
£0k

The trend shows six months for context. Only the final three months contribute to the selected quarter's revenue; the previous three supply the quarter-on-quarter comparison.

Monthly and regional revenue are alternative breakdowns of the same total. Keep them separate when summing the CSV. Gross margin, weighted open pipeline and on-time shipping are illustrative assumptions; their transaction-level inputs are not modelled. Pipeline is a snapshot at quarter end.

Download the fictional sample data (CSV)

Includes all four quarters, the previous quarter's monthly context, units and data-basis labels. The data is fictional and available without an enquiry.

For a commissioned build, we agree your measure definitions, compare report totals with an independent source extract and record access tests and owner sign-off. That gives your team an acceptance record to use when approving the reporting.

·However suits you

Keep control. Always.

Run the build yourself, keep us on tap month to month, or bring us in for a short, fixed-scope project. You choose what continues.

Build & go

We build it and hand it over.

Built, tested, documented and yours outright. Most clients start here.

Stay on tap

Keep us on, month to month.

Month-to-month care: we watch refreshes, keep the estate healthy and add reports as you grow. You choose each month.

Just the muscle

Add focused capacity.

Bring in extra capacity for a short, fixed-scope project, for as long as you need it.

03How we work

Four steps from doubt to certainty.

A two-week review names exactly why your figures disagree and what fixing them costs, fixed, in writing. You approve everything before it's built. The review fee comes off your build.

fig.03 · data_flowlive · refreshing
0255075100sourcesturing bioutputShopifyStripePower BIForecastTuring BI
  1. 01

    Discover

    You learn exactly why your numbers disagree and the fixed price to fix them. A two-week review, findings in writing, fee credited to your build.

  2. 02

    Design

    You approve the one view your team will run on and the cost before any build. You decide what ships and when.

  3. 03

    Build

    You watch the versions become one. Your first working dashboard is typically live in two weeks. We test, document and hand it over, then refine it with you.

  4. 04

    Run

    You stay the company that knows. Problems surface days early, month after month. Keep us on with a month-to-month plan, or run it yourself. It's yours.

04AI for analytics

Answers in seconds, not meetings.

Ask a question and get the true answer because the data underneath is checked first. Forecasts, alerts and written summaries, with a human in the loop and a defined scope.

Ask anything, get the answer

Your team asks in everyday language and gets a sourced answer because we get the data right first.

Answers available on demand

Forecasts & early warnings

See it on Tuesday, not at month-end. Forecasts and automatic alerts surface upcoming margin and cash changes days early.

Catch issues days sooner

Reports that write themselves

Board-ready summaries of what changed and why, written on schedule from your trusted data, with a human in the loop.

Less time lost to manual reporting

fig.02 · ask a questionIllustrative
Why did gross margin drop in March?

Margin fell 2.1pts to 21.3%, driven by a 6% rise in freight on the EU lane and a one-off rebate. Volume held.

grounded in: finance model · logistics · 2024–25 · human-checked

05Trust & security

No guessing about us, either.

  • NDAs welcome: we treat your data and credentials as confidential.
  • Least-privilege access: we ask only for what the project needs.
  • ICO registration & UK GDPR / DUAA 2025 alignment, SOC 2 Type II, ISO/IEC 27001, ISO/IEC 27701 in progress.
  • Documented models, governance and handover, so nothing is a black box.

“We compare fixing the numbers you have, switching tool and adding governed AI against your stack, budget and data, then document the recommended next step and why it fits.”

How we decide · stack, budget and evidence
·Global delivery

The numbers agree in New York, Sydney and Amsterdam.

UK head office. Hours built around New York mornings, Sydney handovers and Amsterdam's full day. Your data stays in your region. The same team, wherever you are.

UK HQ · Delivered to US, Australia & Benelux

fig.02 · global_deliverylive
USUKBeneluxAU
··:··
New York
··:··
London
··:··
Amsterdam
··:··
Sydney
06FAQ

Answers with the reasoning.

What will this cost?

You'll always have the fixed total in writing before work begins. Most clients start with a fixed-price Trusted Numbers Review (£2,000–£4,000) that gives you findings and a fixed-price plan. The build itself typically runs £8,000–£14,000 depending on scope.

How long until we see something?

The review takes two weeks. Your first working dashboard is then typically live within two weeks of starting the build, with that first version refined alongside you. Zoho Analytics setups on existing Zoho data can be live in days.

Should we use Power BI or Zoho Analytics?

We compare both against your stack and budget. If you already run on Microsoft, or need heavier modelling and scale, Power BI/Fabric usually wins. If your business runs on Zoho and your needs are mainstream, Zoho Analytics is often faster and cheaper to own.

Can you fix what we already have, rather than start over?

Usually yes, and the review will tell you. We find and fix the calculations and connections causing wrong numbers, consolidate the duplicate reports, and add the controls that were missing (who sees what, automatic refresh), keeping whatever already works.

Do you work with clients outside the UK?

Yes. UK head office, delivered to the US, Australia and Benelux, with timezone overlap and async working built in. Your data stays in the right region for your jurisdiction.

Is our data safe with you?

We treat your systems and data as confidential, ask only for the access a job needs, and are happy to sign an NDA and a DPA. SOC 2 and ISO 27001 are on our near-term roadmap.

A few Mondays from now. 9am.

Become the company that knows.

Your next board meeting: the quiet one. Start with a two-week review: you learn exactly why your figures disagree, at a fixed price, and the fee comes off your build.

A fixed price agreed in writing before we start, and you own everything we hand over.