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Analytics

The whole company on one screen

The indicators that matter, in one place, refreshed automatically. Not fifty charts — the indicators you actually run the business on.

Who this is for

Signs you have passed the point where reports were enough

If two or three of these land, it is not an emergency — but it is a clear signal.

You find out about problems too late

An important client cut their orders and you learned it at month end, from the financial report. With a daily or weekly refresh you react in days, not months.

Decisions get made on a feeling

You ask the team how things are going and get “fine, I think”. A report does not decide for you. It shows you exactly what you are deciding on.

You grew and the reporting did not

At ten people and a few dozen clients, files were enough. Complexity grew, reporting did not, and the gap produces errors and delays.

Your data is already in order

The sources are consolidated and the figures can be trusted. What is missing is the place you look at them without asking anybody for anything.

What you’re losing now

What you’re losing with nowhere to look

The data exists. The cost is the distance between it and you.

The meeting gets prepared from scratch every time

Same figures, same sources, same effort, month after month. The work is identical, which is exactly why a person should not be doing it.

A simple question turns into a small project

“How are we doing on margin in that channel?” means an email, a wait and a file. By the time the answer arrives, the question is no longer urgent.

The report says what happened, not what is happening

A monthly report describes a closed month. Decisions get made during the month, on information nobody has written down yet.

What you get

What you actually receive

Six deliverables. The first is the hard one: which indicators.

01 The set of indicators that matter

Choosing them is the difficult part, not building them. An indicator only makes the list if it answers a decision you actually take.

02 A written definition for each

How it is calculated, from which source, what it includes and excludes. Without it, the same screen produces the same arguments as before.

03 The dashboard, refreshed automatically

Daily or weekly, depending on how fast the figure moves. No manual step between the source and the screen.

04 Thresholds and signals

Which value is normal and from which value you need to look. An indicator without a threshold is a number, not information.

05 Monthly reporting, generated on its own

The same set of indicators, packaged for the meeting. The report is generated from the same definitions, so it cannot contradict the screen.

06 Access by role

The CEO, the CFO and the commercial director look at different screens built from the same definitions. One source, several views.

How we work

Indicators first, screen after

A dashboard built before knowing which decisions it supports turns into a collection of charts.

  1. First call

    Duration:

    You tell us which decisions you take monthly and what you look at today to take them. The shortlist of candidate indicators comes out of that.

  2. Defining the indicators and building

    Duration:

    The indicators and their definitions are agreed, then the screen is built and connected to the sources.

  3. Thresholds, roles and reporting

    Duration: In parallel with step 2

    Thresholds are set, views are split by role and the automatic monthly report is switched on.

Exact timing depends on how many sources you have and how clean they are — we agree these with you upfront.

Evidence

What actually changes

Before

The management meeting was prepared by hand: 3–4 hours gathered from different sources, with errors that surfaced in the meeting itself.

After

A dashboard refreshed daily, with the indicators agreed. Time spent preparing the report: zero.

1
Screen, instead of separate reports
0 min
Spent on manual reporting
2–4 weeks
To the first dashboard

Typical outcomes from previous projects. Every context is assessed individually.

What stops you

The questions you ask before you sign

How much does it cost?
The 30-minute call is free. It ends with a proposal at a fixed price for the whole project — not an hourly rate, and not an estimate that keeps moving.
How long before we see something useful?
First results appear in 2–4 weeks. Exact timing depends on how many sources you have and how clean they are — and we agree that before we start, not along the way.
What happens to our data?
It stays with you. Our tools connect to your database, read its structure and build the reporting measures there — nothing is copied or stored on our side. You get a Power BI report file with the metrics defined, which you connect to your own source; the data in it is yours and never passes through us. The exception is prediction: a model needs history, so there we keep aggregated values and model statistics, not individual records and no confidential data. Before we get any access, we sign a confidentiality agreement and a GDPR data processing agreement.
We already have reports in our systems. Why another screen?
Because it is not another one, it is the only one. Each system reports its own slice, on its own definitions. The dashboard puts them all on the same definitions in one place, so you no longer have to reconcile them yourself.

From the same stage

The rest of the insight stage

The dashboard shows the figures. Profitability and sales analysis are what produce them.

Most requested

Profitability & cash-flow

Know exactly where you make profit, where you lose, and how your cash-flow will look in 3–6 months. With “what-if” scenarios.

  • Profit per client / product / channel
  • Fixed vs. variable cost analysis
  • 3–6 month cash-flow forecast
  • Decision scenarios
Learn more

Sales & customers

Understand which clients bring value, where you’re losing opportunities, and where your sales team should focus.

  • Pipeline and conversion analysis
  • Customer segmentation by value
  • Identifying profitable clients
  • Commercial focus recommendations
Learn more

Predictive analytics

Who might stop buying, who might not pay, how much you will sell next month. Models trained on your own history, with the margin of error stated up front.

  • Payment risk score
  • Customers at risk of leaving
  • Sales and demand forecast
Learn more

Anomalies & patterns

We analyse every table in your systems and surface what falls outside the pattern: repetitions, missing counterparts, unusual values, concentrations. No hand-written rules.

  • Analysis across every source
  • Ordered by relevance
  • Every finding with its context
Learn more
Back to Analytics

Next step

A 30-minute conversation, no strings attached

Tell us which decision you want to make better. We’ll tell you whether we can help, and how, concretely.