Sound familiar?
- "We're changing systems, and nobody dares touch the twenty years of data in the old one."
- "The same company appears three times in the customer list, spelled three different ways."
- "Half the fields in the old system are used for something other than their label suggests."
What we deliver
- Profiling first — what is actually in there, how much of it is wrong, and what it will cost to put right
- Cleaning and de-duplication against rules you have approved, never silent guesswork
- Repeatable migration scripts: run, check, adjust, run again, until a dry run comes back clean
- Validation and reconciliation reports that prove what moved and what deliberately didn't
- A rehearsed cut-over with a rollback plan, so launch weekend holds no surprises
- History preserved — including the awkward records nobody wants to talk about
This is where projects quietly overrun
The data is almost always worse than anyone expects. That discovery either happens early, on paper, during profiling — or late, in the middle of a launch weekend, at considerably greater cost.
So we profile before we quote. If the answer is that the clean-up is bigger than the migration, you will hear it while you can still plan around it.
Technology we build with
SQL Server
T-SQL
EF Core
Azure
Power Query
Dataverse
CSV & Excel