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Data Validation Teams

Hire a Dedicated Data Validation Team

Add a team that checks records against source data independently, catching discrepancies before they reach production, without the cost of a full-time hire.

50+ ERP and software projects. Zero failed projects since 2021.

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1-2 wk
Typical shortlist time
100%
Screened on real validation tasks
Independent
Checks separate from the entry team
Free
Replacement if not a fit
Why It Matters

A team that checks its own work misses its own blind spots

The person who entered a record is the least likely to catch their own mistake in it. Independent validation catches what a single reviewer working alone tends to miss.

Independent, Not Self-Checked

A second, separate set of eyes on every record

The validation team checks records independently of whoever entered or migrated them, comparing against source data and rules written for the check, not the entry.

  • Validation separate from the entry or migration team.
  • Rule-based checks for completeness and format.
  • Discrepancies logged with a source reference.
A validation team checking records against source data
Routed to the Root Cause

Discrepancies routed back, not corrected silently

When a discrepancy is found, it goes back to whoever owns that data with a clear reference, so the root cause gets fixed instead of just the one record.

  • Discrepancies routed to the data owner.
  • Root causes addressed, not just individual records.
  • A discrepancy log you can review anytime.
Reviewing a discrepancy log
What a Validation Pass Looks Like

Every record checked against a rule, not a guess

Illustrative example. Your actual validation rules are agreed during onboarding.

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How Hiring Works

From requirements to a working team in about two weeks

1
Share requirements
Tell us the record types, your source systems, and the validation rules you already have.
2
Shortlist
We match validators by data type and rule complexity and send you 2 to 3 profiles within days.
3
Interview
You interview the shortlist directly and pick the team that fits your data and your systems.
4
Onboard
The team documents validation rules with you and starts checking the first batches in the first week.
5
Scale as needed
Expand the team around migration cutovers or high-volume entry periods.
What's Included

Everything you need to run the engagement smoothly

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Dedicated to your data

The team works only on your records, not spread across other clients' work.

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Direct communication

You and your team talk to the validators directly, with no extra layer in between.

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Flexible contracts

Full time, part time, or scaled around cutovers and high-volume periods.

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Documented validation rules

Rules agreed with you, applied consistently across every batch.

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Timezone overlap

Working hours arranged to overlap with your team for discrepancy reviews.

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Replacement guarantee

New team members at no extra cost if the current ones are not the right fit.

What Changes

What a dedicated data validation team changes for your data

Independent
Checks, separate from the entry team
Caught Early
Discrepancies found before production, not after
Traced
Discrepancies logged with a source reference
Fixed at the Root
Not just the individual record
Consistent
Rules applied the same way, batch after batch
Lower
Cost than a full-time direct hire
Why Us

Why teams hire data validation teams through TCB Infotech

1
We validate our own records
We run independent validation on our own data entry and migration projects, so our teams are screened on real validation work, not trivia.
2
Fast, honest shortlisting
You see 2 to 3 profiles, not a stack of resumes, and we tell you plainly if a fit is not right.
3
Direct access, no relay
You and your team work with the validators directly, on your tools and your review schedule.
4
Results you can verify
A discrepancy log shows what was caught and fixed, not a general assurance.
5
No long lock-in
Scale the team up or down with notice, based on the volume you actually have.
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Proven delivery
50+ ERP and software projects, with zero failed projects since 2021.
FAQ

Hiring data validation teams, answered

What does a dedicated data validation team do?
They check entered or migrated records against source data, run rule-based checks for completeness, consistency and format, and flag discrepancies for correction before the data is treated as final.
How is this different from a data entry executive checking their own work?
A data entry executive verifies their own batch as they go. A validation team checks records independently, after entry or migration, against source data and rules the entry team did not write themselves, catching errors a single reviewer working alone tends to miss.
Do you validate migrated ERP data as well as day-to-day entries?
Yes. The team validates both: ongoing batches from data entry and document processing, and one-time migrations handled by our ERP data migration specialists.
What happens when a discrepancy is found?
It is logged with a reference to the source record and routed back to whoever owns that data, rather than corrected silently, so the root cause gets addressed.
What is the engagement model?
You can hire full time, part time, or scale the team up around migration cutovers and high-volume periods.
What if the team is not the right fit?
We replace the team members at no extra cost during the engagement, with a handover of the validation rules and open discrepancy log.

Hire a Dedicated Data Validation Team

Book a free consultation. Tell us about your data, and we will shortlist validators who fit your systems and your timezone.

Book a Free Consultation →

No commitment. See a shortlist before you decide.

Data Validation Team Hiring Features

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.

Core Process

Vetting, matching and onboarding, in that order

Vetting

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.
A data validator assessment session
Matching

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.
Reviewing a shortlist of validator profiles
Onboarding and Management

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.
A team onboarding onto a new validation engagement
What You Get

Everything included in the engagement

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Dedicated validators

Work only on your records, not spread across other clients' work.

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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.