Integration · Data migration
The same customer is in there three times, spelled three ways. Half the records are out of date and nobody quite trusts the numbers. Now you are switching systems, and the fear is that the mess, and your history, either come along for the ride or vanish in the move. Here is the hard part to hear: a new system will not fix any of this. It inherits it.
What it looks like
It rarely arrives as one big failure. It is a hundred small frictions that add up until nobody believes the numbers any more.
The same customer is in the system two or three times, under slightly different names, so nobody knows which record is the real one.
Addresses, product names and codes are each written three ways, so totals never quite add up and searches miss things.
Half the records are out of date or half-filled, and you only find out when something goes wrong with a real order.
And now you are moving to a new system, and the dread is simple: that you lose years of history, or carry the whole mess across with you.
So the data that is supposed to run the business is the thing you trust least, and the move that was meant to fix it feels like the moment it could all fall apart.
Why it happens
None of this is anyone's fault. It is what happens to data over years of real work, and a system change does not undo it on its own.
The data was typed in by hand over years, by different people, with no shared rule for how a name, an address or a code should look.
It lives in several systems that were never kept in step, so each holds its own slightly different version of events.
A new system feels like a fresh start, but it imports whatever you give it, so the duplicates and gaps arrive on day one, and stand out more against a tidy new home.
Fields rarely line up between old and new: one system keeps a single name field where the next wants two, dates and decimals convert oddly, and figures quietly shift.
History is the first thing dropped to make a migration simpler, which is exactly the part you cannot get back.
So the question is not which system to buy. It is whether the data going into it is clean, and whether your history comes with it. The way to know is to look at the state of your data before anything moves. That is what a 30-minute review is for.
What good looks like
We look first, profiling what you have so the duplicates, gaps and inconsistencies are known before anything moves.
The data is cleaned and standardised, duplicates merged, formats made consistent, gaps filled where they can be, so one customer is one record.
Old fields are mapped carefully to new ones, and the move is done in stages and checked against the source, so you can see nothing has gone missing.
Your history comes too, with a bridge kept to anything that does not fully fit, so you keep the context, not just the opening balances.
The new system starts clean, and so does everything that reads from it: your reporting, your connected tools, and any AI you add later.
Because we are vendor-neutral, we have nothing to sell you but the work itself, cleaning your data in place if you are staying put, or cleaning it as we move you if you are switching. We do not promise that nothing can ever go wrong; we back it up, map it, move it in stages and reconcile it against the source, so you can see for yourself that it is all there. Clean data is the floor everything else stands on. You build it once, and use it everywhere.
Common questions
In short
Before you move a single record
Book a 30-minute review and we will look at the state of your data, where the duplicates and gaps are, and what it takes to clean it, whether you are moving systems or staying where you are.