Data Cleanup and Migration for AI
Clean data first, so your AI and your reports can be trusted
AI projects fail most often because of the data underneath them: the same customer entered four ways, half-filled records, years of spreadsheets that never made it into the CRM, and a system you are trying to leave. We clean, merge and move that data with AI doing the heavy matching and people checking the hard cases. You end up with one accurate record per customer, product or supplier, in the system you want to be in, with nothing lost along the way.
- 01
Duplicates merged into one accurate record per customer, supplier or product
- 02
Missing and inconsistent fields filled in and standardised
- 03
Data moved from old systems and spreadsheets with every record accounted for
- 04
A foundation your AI tools and reports can rely on
What it covers
Data audit
A review of what you have, where it lives and what shape it is in, with a written report before any change is made.
Deduplication
AI matching that recognises the same company or person across different spellings, addresses and formats, with uncertain matches sent to a person.
Standardising and enrichment
Names, addresses, phone formats, categories and units made consistent, and gaps filled from your other records.
Migration
Records, history, notes and attachments moved between CRMs, accounting systems and databases, mapped field by field.
Reconciled counts
Before and after counts and spot checks for every object, so you can see that nothing was dropped.
What lands in your hands
Everything is built on your accounts and handed over with documentation. You own it from the first day.
- 1A data audit report with the issues found and the plan to fix them
- 2Cleaned, merged data in your target system
- 3A field mapping document and a migration log
- 4Before and after counts, signed off by your team
Asked before we start
No. We keep the original data in a backup and record which records were merged into which, so any merge can be reviewed or reversed.
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