Spreadsheets to database
Dozens of Excel files, maintained by different people, become one validated, structured database with clear ownership and version history.
Data Migration
From twelve versions of the truth to one data source that's right
We bring spreadsheets, legacy systems and document archives together into one clean, validated database. Every record checked against the source, old and new run in parallel until everything matches, and nobody notices the switch.
- Zero downtime at switch-over
- 100% of records validated
- EU hosting & audit trail
Prognose_2026_v7_FINAL.xlsx
Kopie van planning (Jan).xlsx
Legacy ERP · MSSQL 2008
Facturen 2019-2026.pdf
Google Sheet · inkoop
validate
One data sourcePostgreSQL · EU · version history1,393 records · 0 deviations
Verified: 100%Downtime: 0Audit trail: complete
12→1spreadsheets to
one data source
one data source
Sound familiar?
Three things we hear often
Every department has its own version of the truth.
Ten Excel files, ten different numbers. Nobody fully trusts the reporting anymore, and every month-end starts with a debate.
The only person who understood the old system has left.
Critical knowledge is stuck in someone's head, a spreadsheet macro or software nobody dares to touch anymore.
Our data can't just go to the cloud.
A fair question from your DPO. We design around it from day one: EU hosting, role-based access and a complete audit trail.
If one of these sounds familiar, a data migration is the right starting point: for reporting, automation or AI.
What we bring together
Whatever the source, it ends up in one place you can trust
Legacy systems
We extract data from software that is no longer maintained or supported and move it to a modern, documented foundation, without losing history.
Documents to data
PDFs, scans and forms are read with document AI and converted into structured, searchable records. With human control on edge cases and verification against the printed total.
Platform to platform
Switching to another CRM, ERP or cloud provider? We translate the old data model to the new one and migrate with validation at every step.
In practice
Migrations we delivered
Production
Food & Agri · Data & dashboards
Forecast versus actuals per greenhouse, daily from SharePoint
Cultivation forecasts lived in a dozen Excel files, each maintained by a different colleague. Now a pipeline reads the source files daily from SharePoint and one dashboard shows forecast accuracy per location, crop and horizon, including the late adjustments nobody used to see. An assistant in the chat validates new forecasts and flags outliers.
17locations in one overview
12 → 1spreadsheets to one source
Production
Food & Agri · Document AI
6,800 supplier invoices from PDF into one procurement database
A tomato grower with sites in Belgium and the Netherlands had six years of invoices as PDFs, in dozens of layouts, via email and WeTransfer. A pipeline reads them automatically from SharePoint, recognises supplier and entity, extracts every line and checks the total against the printed amount. Edge cases reach the buyer as proposals, approved with one click. On top of the database: a procurement dashboard with price monitoring, categories and data quality.
6.873PDFs in the archive processed
100%checked against printed total
Production
Marketing & Lead generation · Data agents
Twenty-five analysis agents on millions of transactions, no SQL required
A cashback and savings platform with hundreds of thousands of members had its data in Elasticsearch, accessible only to developers. Via an MCP connection, agents now answer marketing and finance questions: churn reasons, approval ratio per network, look-alike mailing lists, provisions. A mailing agent prepares draft mailings in their own admin system.
25+reusable agents
0lines of SQL for the user
Names anonymised for client confidentiality.
Approach
How we approach a migration
Careful, validated, zero downtime. We don't experiment with your data.
1Week 1-2
Data audit & mapping
We map every source, spreadsheets, systems, documents, and how they relate. Data quality issues are flagged here, not halfway through.
2
Migration plan & validation rules
We agree the target data model and the rules that determine whether migrated data is correct, before a single record is moved.
3
Build & migrate
We build the extraction, transformation and load pipeline and run it on real data, first in a test environment, with reconciliation reports at every step.
4
Run in parallel & validate
Old and new run side by side until every record and every total match. No switch-over until both you and we trust it.
5
Go-live & hand-over
A controlled switch-over with monitoring, documentation and training, so your team can build on and trust the new data source.
6
Reporting, automation or AI on top
A migration is often the first step towards a live dashboard, an AI assistant or a custom application. Same team, one continuous project.
Security & governance
Your data, handled with care
A migration means your most sensitive information passes through our hands. That's why security and traceability are part of the design: EU hosting, record-level validation, reconciliation reports and a complete audit trail of what was moved, when and how.
EU hosting and EU endpointsRecord-level validationReconciliation reportsRole-based accessComplete audit trailNo training on your data
Running in parallel is the safety net. We never migrate in one jump: old and new run side by side until every number matches, so a migration is never the reason your reporting breaks.
Frequently asked questions
What organisations ask us about data migration
Can a migration be done without downtime?
In almost all cases, yes. We run old and new side by side and only switch over once the data is validated and reconciled. The switch itself is then a matter of minutes.
How do we know nothing gets lost?
By checking every record, not a sample. We reconcile counts, totals and keys per source and deliver reports on them. For documents we verify extracted amounts against the printed total on the document itself.
Where does our data end up?
Within the EU by default, in a database that belongs to you. For sensitive data we can host on your own infrastructure or a private cloud environment of your choice.
What does a data migration cost?
That depends on the number of sources, data quality and volume. The audit is small and tightly scoped; the migration itself is quoted fixed-fee per phase afterwards, so you know upfront where you stand.
What if some data turns out to be unreliable?
That's exactly what the audit phase is for. We flag data quality issues early and agree with you how to handle them: clean up, exclude or mark for manual review.
Do you also build reporting or AI on top of the migrated data?
Yes, and that's usually the goal. A migration is the first step towards a live dashboard, an AI assistant that knows your documents or a new custom application. Same team, one continuous project.
Data scan
Curious what your data could look like?
Book a free data scan. We look at your current sources and sketch what one reliable data source could look like for you, including what becomes possible afterwards.
- Reply within one business day, from an engineer
- Free and no strings attached
- Your data stays within the EU
Thanks, we received your message.
An engineer reads your message and replies within one business day.