Data Structuring
Agree one shape for your customer, product and order data, and keep every source inside it.
From EUR 3,600
Overview
When the same customer appears three different ways across your CRM, your invoicing tool and an old spreadsheet, every report starts with cleanup. We agree one schema with your team, write down the rules for duplicates and conflicts, and build the mapping that brings each source into line. Checks run on every import, so bad records are stopped early instead of being found at month end.
What is included
A written schema for the records your team relies on, with a plain definition for each field
Mapping from up to three sources, such as a CRM export, a spreadsheet and an order system
Duplicate and conflict rules agreed with you and documented in plain language
Validation checks that flag or hold back records that do not fit
How it works
We read your current exports and list every place where the sources disagree.
We agree the schema and the rules with the people who use the data every day.
We build the mapping and the checks, run them on your full data set, and walk you through the results.
Typical timeline
2 to 4 weeks, depending on the number of sources and the state of the data.
Good fit if
The same customer or product exists in several versions across your tools
Reports need manual cleanup before anyone trusts the totals
You are about to move to a new system and want clean data going in
Questions
Do we have to replace any of our current tools?
No. We work with the tools you already use and map their exports into one shared structure. If a tool keeps causing problems we will tell you, but the decision stays with you.
What happens to records that do not fit the new schema?
They are held in a separate list with the reason attached, so someone on your team can fix or discard them. Nothing is deleted without a person deciding.
Ready to look at one real process?
Send us one example of the work and we will tell you what can be automated and what it would take.