Data cleansing (datavask)
Also known as data validation, master data cleansing, address cleansing, datavalidering, stamdatavask, adressevask
Data cleansing means tidying up debtor master data — addresses, CVR numbers, contact details — so claims can be served and enforced.
Key facts
- Determines
- Whether service can succeed
In practice
A collection process is only as good as the master data it runs on. A claim against “Jensen ApS” with no CVR number, at an address from 2019, is a claim that cannot be served — and therefore a claim that cannot be enforced.
It sounds trivial. It is also one of the most common reasons why old cases stall.
Where it commonly goes wrong
- The bad data is discovered when the case has to be served. By then months have passed, and the limitation date has moved closer.
- You clean the data once and call it done. Addresses and company details change. It is a routine, not a project.
- Data is corrected in the collection system and not in the ERP. The wrong address comes straight back with the next invoice.