A single version of the truth.
We unify information from different sources into clean, reliable data that is useful for running the business.
We automate data extraction, transformation and loading so you get up-to-date reports, dynamic dashboards and management control without hours of manual work.
What is ETL? Explained without the jargon
ETL stands for Extract, Transform and Load. In practice:
- Extract: we take data from where it already lives (the ERP or CRM, banks, POS systems, Excel spreadsheets, production or HR).
- Transform: we clean, combine and organise it using consistent rules, so all the figures reconcile.
- Load: we bring it into a single model that produces reports and dashboards which update automatically.
The result is a single version of the truth: everyone in the company sees the same figures, without copying and pasting in Excel.
When preparing reports costs more than analysing them.
- Hours spent manually copying data into Excel
- Different figures depending on who prepares the report
- Information spread across several systems
- Slow, error-prone closes
- You want reports that update themselves
We connect what you already use.
- ERP/CRM
- Banks
- POS
- Excel
- Production
- HR
Our tools: Power Query and Power BI
We build processes with Power Query and dashboards with Power BI, Microsoft’s data analysis tools, which we use internally. The model is designed around financial control: calendars and periods, a star schema, mapping to the income statement and balance sheet, and data cleansing rules.
You do not need to install anything or pay for licences: you receive ready-to-use reports and dashboards in PDF or Excel, or we present them at a monthly meeting, as agreed at the start.
A typical example: a company with an ERP for invoicing, several banks and a production spreadsheet. With ETL, sales, margins by business line, cash flow and production efficiency update automatically in the dashboard, without anyone having to prepare the report by hand.
A model built for financial control.
- Calendar and periods
- Dim/fact tables, star schema
- PL/BS mapping and business codes
- Cleansing and aggregation rules
- Traceability and change control
From definition to daily use.
- 01
Analysis of sources and needs
- 02
Data model design
- 03
Power Query / Power BI build
- 04
Validation of the figures with the client and adjustments
- 05
Launch and presentation of the reports
Data you can trust.
- Reconciliations
- Error log
- Role-based permissions
- Backups and version control.
- Full documentation: data dictionary and operating manual (runbook).
Fewer manual hours, better decisions.
- Documented ETL flows and dataset
- Data dictionary and runbook
- Report and KPIs templates
- 30 days post go-live support
- Fewer errors and faster closes
- Real-time strategic control
Frequently asked questions
Organise your data to decide better.
Tell us which sources you use today and we’ll propose how to unify them.