DATA & SYSTEMS / Data Validation

A clearer picture starts with a trusted record.

Bring duplicate detection, conflicting information and consent exceptions into a human-reviewed validation workflow.

Explore this for your team

INFORMATION YOU CAN ACT ON

Many records.
One clearer picture.

Donor records Contact preferences

VALIDATEReady
for review

QUALITY / EXAMPLE VIEW

Clear.Connected, checked, accountable.

Duplicate detection

Field conflict comparison

Consent exception handling

A reviewable audit trail

A CLOSER LOOK AT DATA VALIDATION

See how the work flows.

Explore each stage and see where your team reviews the work.

Data Validation PRODUCT EXPLORERAI

CONFIDENT DECISIONS BEGIN HERE

One record. A clearer answer.

RECORD A

Supporter D-104

Email preference

Permission recordedSource: CRM

RECORD B

Supporter D-108

Email preference

Conflicting informationSource: import

Consent conflict — route to a human reviewer.

Explore the workflow · No client recordsBuilt around people

Built around the everyday work.

A validation layer designed to flag likely duplicates, compare conflicting fields and route exceptions to a human reviewer. Consent decisions are treated as a distinct control, with provenance retained for review.

THE THINKING BEHIND THE TOOL

From a real problem
to a practical solution.

Read what the team needed, what changed and how progress is measured.

Read the story