Data inventory
Sources, owners, volume, structure, quality, legal or operational importance, sensitivity, dependencies, and retention.
Technology service · Platform implementation
Turn technology architecture into a system teams understand, trust, and use. Use this service when moving animals, people, gifts, applications, placements, tasks, documents, communications, program history, or reports from legacy tools into ARC.

Implementation model · Data Migration deliverables
Use this service when moving animals, people, gifts, applications, placements, tasks, documents, communications, program history, or reports from legacy tools into ARC.
Sources, owners, volume, structure, quality, legal or operational importance, sensitivity, dependencies, and retention.
Field mapping, identifiers, transformations, duplicates, defaults, validation, exclusions, archive, and reconciliation.
Representative extraction, cleanup, load, exception report, user review, count and value reconciliation, and revision.
Freeze plan, final load, delta handling, validation, approval, rollback, legacy access, archive, and post-cutover support.
How the work happens
The sequence is adjusted to the organization's readiness, existing systems, risk, content, data, people, and approved scope.
Understand the records, missing values, duplicates, stale status, custom rules, attachments, and hidden dependencies.
Resolve target ownership and definitions, normalize values, merge only by approved rules, and preserve necessary source evidence.
Run multiple test migrations with real user validation, reconciliation, performance checks, and issue closure.
Control the change window, validate critical workflows, preserve rollback, support users, and document the final archive.
Connected products
The exact product mix is set through discovery and the ARC Assessment; services never operate as isolated deliverables.
Start with clarity
The ARC Assessment maps current systems, operating pressure, goals, readiness, and recommended next steps.