How Hiring a Dedicated Data Validation Team Works
From the requirements call to discrepancies caught before production. Here is how we vet, match and onboard every data validation team we place.
Vetting, matching and onboarding, in that order
Every validator is tested on real discrepancy detection
Before a validator joins our bench, they are tested on rule-based checking and source comparison, and a hands-on task finding planted discrepancies in a sample dataset.
- Rule-based checking accuracy.
- Source comparison technique.
- A real discrepancy detection task.
You get a shortlist, not a resume pile
We match validators to your specific data: the record types, your source systems, and the timezone overlap that works for your team. You see 2 to 3 fitting profiles, not fifty.
- Matched to your record types.
- Matched to your source systems.
- Matched to your working hours.
A structured start, then you take the lead
The team documents validation rules with you and starts checking the first batches, agreeing priorities in the first week. You manage priorities directly from there.
- Documented validation rules.
- Agreed priorities for the first batches.
- Direct day-to-day management by your team.
Everything included in the engagement
Dedicated validators
Work only on your records, not spread across other clients' work.
Direct communication
Access to the validators on your own tools, with no extra layer in between.
Flexible contracts
Full time, part time, or scaled around cutovers, adjustable with notice.
Documented validation rules
Rules agreed with you, applied consistently across every batch.
Timezone overlap
Working hours arranged to overlap with your team for discrepancy reviews.
Replacement guarantee
New team members at no extra cost if the current ones are not the right fit.
Start With a Free Consultation
Tell us about your data, and we will shortlist validators who fit your systems and your timezone.
Book a Free Consultation →