Skip to content
MAWT Logo
AI Solutions

Get your data out of spreadsheets and into a system you can trust.

Overview

We migrate Excel files, Access databases and closed legacy systems to modern, documented data platforms — in stages, without interrupting your operations.

Data modernization means moving business data out of ageing silos — Excel files, Access databases, old servers, closed ERPs — into modern databases and automated pipelines. The data is cleaned, deduplicated and documented along the way, then migrated in stages so daily operations never stop. Hosting can stay in Switzerland or Europe.

Target

For Swiss SMEs whose critical data lives in spreadsheets, an ageing Access database or a closed ERP — fiduciaries, manufacturers, distributors, service firms — and who want reliable figures without a risky big-bang migration.

Details

Excel files that disagree with each other, an Access database only one person dares to open, an ERP that keeps your own data hostage: for most SMEs, this is not an anecdote, it is the operating system of the company. It holds — until a formula breaks, a person leaves, or you need a figure the system cannot give.

We take your data out of these silos, clean it, and move it into a modern documented database with automated pipelines — in stages, with the old and the new running side by side until you validate each step. Hosted in Switzerland, in Europe or on your own servers. The result: one reliable version of your figures, and a foundation ready for reporting, automation and AI.

Why legacy data quietly holds your company back

Most SMEs run on data that grew organically: an Excel file per department, an Access database only one person understands, an ERP that exports nothing without a consultant. It works — until it doesn't. Figures diverge between files, a formula breaks silently, and every report starts with hours of manual assembly.

The hidden cost is bigger than the visible one. Messy, scattered data blocks everything you might want next: reliable reporting, automation, AI on your documents. Cleaning and centralizing it is not an IT luxury — it is the foundation the rest stands on.

Our approach: migrate in stages, never break what works

We start with an audit: where the data lives, who owns it, what is duplicated, what is actually used. Then we prioritize — the sources that hurt most move first, the rest follows at your pace.

During migration, the old and the new run in parallel. Your team keeps working in familiar tools while data flows into the new base, gets cleaned and gets validated against reality. We only switch off a legacy source once you have confirmed the replacement is right. No big bang, no weekend of terror.

What a modern data foundation makes possible

Once your data sits in a clean, documented base with automated pipelines, things that were impossible become routine.

  • Reports that build themselves instead of consuming someone's Friday
  • One figure per question — no more three versions of the same number
  • Automations that react to your data instead of waiting for an export
  • AI on your documents and records: enterprise RAG, assistants, intelligent CRM
  • Onboarding that no longer depends on the one person who knows the Access file

Where your data lives: Switzerland, Europe or your own servers

Modern does not mean American cloud by default. Depending on your constraints — nLPD, client contracts, professional secrecy — we host the new platform in a Swiss data centre, a European cloud or on your own hardware. The architecture is documented, so you can show an auditor exactly where every record lives and who can touch it.

What it includes
  • Audit of your current data sources and silos
  • Data cleaning, deduplication and validation
  • Migration to modern databases (PostgreSQL, SQL Server…)
  • Automated pipelines replacing manual exports and copy-paste
  • Swiss or European cloud hosting — or your own servers
  • Staged migration with no business interruption
Deliverables
  • A map of your current data sources, owners and risks
  • Cleaned, deduplicated data migrated to a modern database
  • Automated pipelines replacing manual exports and copy-paste
  • Documentation your team can actually use, in plain language
  • A staged migration executed without business interruption
Takeaways
  • Excel and Access were never meant to run a company long term.

  • Migration happens in stages — old and new run in parallel until validated.

  • Clean data is the prerequisite for reliable reporting, automation and AI.

  • Hosting stays in Switzerland or Europe if you want it to.

  • One senior team, one contact, from audit to handover.

You might also need

Smart CRM

AI augmented CRM, built for your business, wired into your tools.

AI agent / assistant

AI agents that act inside your tools, not just chatbots that answer questions.

Enterprise RAG

RAG on your knowledge base so AI answers with your context, not in general.

Frequent questions

How long does a data migration take for an SME?

It depends on the number of sources and the state of the data, but most SME migrations run between a few weeks and a few months — delivered in stages, each one usable on its own. The initial audit gives you a precise timeline before anything moves.

Can we keep working during the migration?

Yes — that is the point of a staged approach. Your existing files and tools keep running while data flows into the new platform in parallel. We only retire a legacy source once you have validated its replacement in real conditions.

What happens to our old Excel files and Access databases?

Their content is extracted, cleaned and migrated; the files themselves are archived, not deleted. Where a spreadsheet still makes sense as a working tool, it stays — but it reads from the central base instead of being the base.

Do we have to move to the cloud?

No. Modern databases run perfectly well on your own servers. When cloud makes sense for cost or resilience, we favour Swiss or European hosting so your data stays under a jurisdiction you understand. The choice follows your constraints, not a vendor agenda.

Is our data safe during the migration?

Every step is reversible: sources are copied, never moved destructively, and each batch is validated before the next. Access is restricted and logged throughout, in line with nLPD requirements. You can trace exactly what was migrated, when, and by whom.

How much does data modernization cost?

Small scopes — one Access database, a handful of spreadsheets — start at a few thousand francs. Larger, multi-source migrations cost more but are priced per stage, so you commit step by step. The audit gives you a firm figure before any commitment.
Next steps

Your data has outgrown its spreadsheets.