Data Quality Services for Nonprofits

List57 helps nonprofits scope donor and supporter data checks before an import, mailing or migration. Identify duplicates, inconsistent formats and uncertain contact status. Preserve giving history, preferences and original values while reviewing corrections.

Share only data required for the job. A usable contact point does not establish that an appeal is welcome; keep source restrictions attached.

Review Donor Data Before Import

Define Deduplication Rules

Define deduplication for individuals, households and organizations separately. For batch deduplication, specify survivor rules and relationships to preserve. If you request registry deduplication across separate systems, retain each system’s identifiers. Shared addresses alone should not merge two donors.

Protect Giving History

Keep gifts, pledges and acknowledgments attached to the correct donor. Compare proposed merges with original data and return ambiguous cases for review. Retain relationship keys through every import.

Select Domain and Contact Checks

Discuss supported postal, email and phone checks. A domain check does not establish identity. Confirm coverage for geography validation or any named change-of-address process before ordering.

Prepare Data for Development Teams

Use stable IDs and dated datasets. Request original and proposed values with clear status definitions. For CSV or Excel, test column mapping, leading zeros and blank handling before updating production records.

Assess Readiness and Training Needs

A maturity assessment can identify missing ownership and procedures. Treat data maturity as internal planning, not a cleaning certification. Provide staff training on labels, exclusions and escalation guidelines.

Preserve Preferences and Open Decisions

A new technical result must not reactivate an excluded donor. Keep unresolved data visible and assign a reviewer. If you want to enrich data, scope that work separately from correcting existing information.

Measure Quality Improvement

Track reviewed duplicates, corrected formats and unresolved rows consistently. Data quality is not a guarantee of donations. Compare the completed work with the agreed program scope and retain a rollback copy.