Data Quality Verification

Data Quality Verification

Our Data Quality Verification (DQV) Tool plays a critical role in successful data migration projects; it allows custom rules to be executed against data sets before submitting them to the target system.

The DQV Tool simulates the rules applied during data loads into the new EPR, enabling users to:

  • Predict the success of trial loads before they happen.
  • Avoid wasted effort and cost by ensuring readiness before data is loaded
  • Drill down and view discrete data items that are causing errors or warnings so these can be rectified
Predict Migration Success
Predict Migration Success

Test data against rules to forecast success and improve quality before submission.

Avoid Wasted Trial Loads
Avoid Wasted Trial Loads

Identify data issues early to prevent unnecessary trial load cycles.

Automate Quality Checks
Automate Quality Checks

Reduce manual QA effort with automated error detection and exception reporting.

Protect Every Record
Protect Every Record

Ensure no data is lost—including waiting lists and future appointments.

No Surprises at Go Live
No Surprises at Go Live

Confirm new system configuration aligns with the data being migrated.

Build Programme Confidence
Build Programme Confidence

Give assurance to programme teams that the data migration workstream is on track.

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