Everyone counts differently
Finance closes the month on invoice date, sales reports on order date. Both are right. The board still sees two numbers and spends the meeting reconciling them.
Data & reporting for mid-sized and large companies across Europe
Ask three managers for last month’s revenue. You’ll get three numbers.
Your data isn’t the problem. Nobody trusts it. We find out why the numbers disagree, fix the foundations, and get your company back to one number everyone uses.
45 minutes, one report, a short note with our first observations. No sales deck.
Board pack · Revenue, MarchExample
| Source | Revenue |
|---|---|
| Finance ERP, invoice date | €4,820,400 |
| Sales CRM, order date | €5,106,900 |
| Operations Excel, shipped orders | €4,671,250 |
Spread between sources€435,650 · 9.3%
| One agreed number defined, owned, refreshed daily | €4,820,400 |
Illustrative figures. All three were “right” by their own definition.
Sound familiar?
What it looks like on an ordinary week
- Monday, 9:00
The board meeting opens with twenty minutes on whose revenue number is the right one.
- Day 6 of the close
The controller is still in the office at 10 pm, matching the ERP against an Excel file.
- “What’s our margin on this product?”
The answer arrives a week later, with a footnote.
- One resignation
The person who knew how the key report refreshes leaves. Nobody else can run it.
- Every department
Has its own sales report. Each shows something different, and each is “the right one”.
- New this year
Someone pastes exported data into an AI chat and brings a confident answer to the meeting. Nobody can check where it came from.
Monday, 9:00 · three months laterOne number on the screen. The meeting starts with the decision.
Two or more of these sound familiar? Show us one report, free →
Where trust breaks
It is rarely the tool. Behind each of these scenes is one of three breaks.
Reports have authors, not owners
When a source system changes, nobody is responsible for fixing the report. People stop trusting it and build their own. That is shadow reporting, and today it includes AI chats run on exported data.
The fix got stuck
The data project meant to solve this is late, over budget, or live but unused. Meanwhile the workarounds keep multiplying.
Industries
Built for companies that make things
Our team comes from the production floor as well as from IT. We know what a shift report, a scrap rate or tomorrow’s production plan looks like in real data.
Plan, actual and cost per unit in one view
Unit cost is known only after month-end. Downtime and scrap live in spreadsheets. ERP and MES never quite agree.
What changes: plan versus actual, cost per unit and scrap, refreshed daily from the systems you already have.
Manufacturing →Suppliers and dealer groups
Suppliers report quality, claims and on-time delivery to OEM requirements by hand. Dealer groups see sales, service and margin per vehicle split across manufacturer systems and the DMS.
What changes: one reporting layer across systems, with KPIs every team defines the same way.
Automotive →Margin per product and customer, every day
Raw material prices move weekly. Promotions eat margin nobody measures. Short shelf life turns forecast errors into write-offs.
What changes: margin per product and customer, promotion results and write-offs on one morning screen.
Food & beverage →See it working
A dashboard that tells you what changed, before you ask
Most dashboards show numbers. Ours open with what needs attention and why, and let you ask questions in plain English. Three working demos on generated data, one per industry.
PLANT PERFORMANCE DESKGenerated sample data
Good morning. Here is how the plants ran.
ACTLine S2 OEE down 6.9 pp vs the previous 4 weeks, now 73%.Breakdown: 58 h lost, was 18 h.
ACTLine N3 scrap at 3.5%, up from 1.7%.Scrap on N3 cost 15k EUR in the period.
WATCHHousings cost per unit +4.6% against standard.Actual 6.70 EUR vs standard 6.40 EUR.
OEE78.1%▼ −1.1 pp
Scrap rate1.5%▲ +0.2 pp
Cost vs standard+2.2%▲ +1.0 pp
Start here
Data & Reporting Health Check
Three weeks, a fixed price from €6,000, and a clear answer: what is wrong with your reporting, what it costs you, and what to fix first.
- Week 1
Inventory
Short interviews with finance, sales and operations. We collect every official report and every shadow spreadsheet in use, and trace where its data comes from.
- Week 2
Definitions
We compare how each key metric is calculated, test data quality at the source, and review who can see what.
- Week 3
Plan
A prioritised fix plan with effort and cost ranges, presented to your management team.
You get
- A shadow reporting map: every report and spreadsheet in use, its owner and its sources
- A list of KPI conflicts: where the same metric is calculated differently
- A data quality and access review, including readiness for AI assistants
- A prioritised fix plan with effort and cost ranges
- A 90-minute readout with your management team
From €6,0003 weeksRemote or on site
Go ahead with the fix and we credit the full Health Check fee against the project. Groups with several companies or many systems get an individual quote.
Ask about the Health CheckReady for AI
AI won’t fix data nobody trusts.
Copilot and other AI assistants answer confidently from whatever data they can reach. If revenue has three definitions, the assistant picks one and doesn’t tell you which. We put definitions, access rights and data quality in place first, so AI gives the right numbers to the right people.
- AI assistant readiness reviewCopilot, ChatGPT, Gemini or another assistant: who can see what, and whether the data is ready, before you switch it on.
- Rules for AI on company dataWhat may go into which tool, and how AI-made figures are checked.
- One definition per KPIA shared model that people, reports and AI assistants all answer from.
Example · AI assistant on unprepared data
What was our revenue in March?
March revenue was €5.1M, up 6% on February.
Finance says €4.8M.
I used the CRM order table. I don’t have a definition of revenue to check against.
The model did its job. The data foundation didn’t.
Who you work with
Senior people on every engagement
A small, senior team. Every engagement is led by someone who has run delivery inside production companies.
0 juniors learning on your project13 industries delivered in3 weeks from first call to a fix plan
Commercial lead, board member
More than ten years in international business development and export management: entering new markets, building distributor networks and closing deals across Europe. Your point of contact for scope, commercials and progress.
Market expansionKey accountsBarcelona
From the production floor to data
More than a decade across manufacturing and IT: production lines in automotive and plastics, then data, BI and process-automation programmes. Leads delivery from first workshop to handover.
Certified project managerProduction engineeringPower Platform
Snowflake, ETL and BI
More than ten years in business intelligence and data engineering: data warehouses, integration pipelines and reporting, with recent years spent leading cloud data platform work.
SnowflakeAzure Data FactoryPower BI
Specialist network
Brought in per project, under the same standards and the same delivery lead.
Data warehouses, end to end
Builds cloud data warehouses from source to report, with automated testing and deployment so changes reach production safely.
SnowflakeAzure DevOpsSQL
Integration and pipelines
Connects on-premise and cloud sources to the data platform and keeps daily loads reliable.
Azure Data FactorySnowflakeDatabricks
Reports people actually use
Builds Power BI reports and data models for finance and operations teams, including access rules and data quality checks agreed with the business.
Power BISQLSnowflake
Who will work on your project? The people you talk to are the people who do the work. No hand-over from a sales team.
Warsaw & BarcelonaWorking with clients across Europe
English firstPlus other languages in the team
Fixed scopeClear price before we start
Your data stays yoursWe work in your environment, with your access rules
Free · 45 minutes
Start with one report, not a project.
Show us one report you don’t fully trust. On a video call you share your screen and walk us through it. We ask where each number comes from, how it is calculated and who keeps it running.
- Where its numbers can diverge from other reports
- What depends on one person or one manual step
- What we would check first
Your data stays on your screen, and we can sign an NDA before the call. Afterwards you get a short note with our first observations. No sales deck.
We run four of these a month. Prefer email or phone? contact@aprogito.com · +48 780 612 325
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