Problem this addresses
- Column names, dates, and identifiers vary across files, leaving reporting dependent on repeated manual cleanup.
Combine chosen files and data sources with clear field matching and total checks.
For teams combining disconnected files, exports, or business data sources.
A consistent dataset with documented mapping rules and a list of records that need attention.
4 visible stages keep the work, decision, and responsibility clear.
Start your requestConfirm each source owner, format, access boundary, and intended output
Agree mapping, validation, and exception rules
Build and test the bounded file or connection workflow
Document refresh ownership, failure handling, and limits
The result, inclusions, exclusions, price, timing, and checks are agreed before work.
The completed work is checked against the examples and acceptance points in the scope.
You receive operating notes, ownership details, and the exact included support period.
The price shown is a guide. Your quote states the exact work, outside costs, payment schedule, timing, access, change process, and support before you decide.