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.

Switch views and explore the controls. A simplified product demonstration, with fictional information.

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.

Explore the delivery context, intended improvements and measures behind the product.

Read the story