Area · Data
Automate your reports and decide with the right numbers.
Your data already exists. The problem is that it is scattered across tools, that it sometimes contradicts itself, and that producing one trusted figure takes days.
What we often hear
You may recognize yourself here.
“Two reports, two different numbers”
The meeting stalls on which one is right, instead of on the decision to be made.
“Month-end takes three days”
Manual exports, copy-paste between spreadsheets, and one person who alone knows how it all fits back together.
“We would like a dashboard, but we do not know where to start”
Every tool has its own, none gives the overall picture, and nobody has time to reconcile them.
What we do
Five concrete workstreams.
We almost always start with a handful of indicators that genuinely matter, not with a full data warehouse.
Bringing sources together
One destinationYour applications, files and online services gathered in one place, refreshed at a rhythm chosen with you.
Making decision numbers reliable
Usually the real issueOne definition per indicator, written down, so that two reports stop producing two figures.
Automating reports
Time given back to the teamWhat used to take days runs on its own at a fixed time, with an alert when a source fails to show up.
Clarifying access and retention
Governance, in practiceWho sees what, where it is stored, how long it is kept and what must be deleted.
Preparing the ground for AI
Before adding a modelA useful assistant needs clean, well-bounded data. That is often the real first step of an AI project.
Use cases
What it looks like in practice.
A dashboard updated automatically
Trigger: leadership meetingSales, costs or operations are brought into one view with five to eight indicators. Leadership sees the same figures without waiting for a report assembled by hand.
An overly manual month-end close
Trigger: month-end closeRepeated exports, copy-and-paste and reconciliations are automated. The team keeps the important checks and completes the close with less rework.
A figure to justify
Trigger: traceability requestWhen a customer or auditor asks where a total comes from, you must be able to trace it back without rebuilding it by hand.
Next step
Let us talk about your numbers.
Tell us which decision you cannot make for lack of reliable data; that is the best place to start.