Mapping Fields Between Systems
Two systems rarely store the same information in exactly the same way. One might call it surname, another last_name; one stores a full address, another splits it into parts. Field mapping is the careful work of deciding how each piece of data lines up.
This article explains why mapping matters and how we get it right so your data stays clean.
What Mapping Involves
It is part translation, part agreement on the rules.
- Matching each field to its equivalent in the other system.
- Converting formats, such as dates and phone numbers.
- Deciding what to do when a field has no match.
- Handling values that must be split or combined.
Getting It Right
Careful mapping now prevents messy data later.
- Document every field and its destination.
- Agree default values for anything missing.
- Validate data so bad values do not slip through.
- Test with real examples from your own records.
Frequently Asked Questions
What if a field exists in one system but not the other?
We agree how to handle it, whether that means a sensible default, leaving it blank, or storing it elsewhere.
Can mapping be changed later?
Yes. As your systems evolve we can revise the mapping, testing carefully so existing data is not disturbed.
If you need a hand with any of this, your Progressive Robot delivery team is ready to help. Raise a ticket from the Support area of your client portal or speak to your account manager and we will guide you through the next steps.