StarRez Data Migration

The Fragmentation Problem:

The data the Student Accounts Office needs to do its job — student records, housing assignments, meal plan enrollments, billing reconciliations — is spread across multiple systems with different schemas, update cadences, and ownership. Manual reconciliation is the workaround. The result is reporting delays, accounting drift, and a finance team spending its time on data cleanup instead of analysis.

The Consolidation:

Migrating financial check-in data from the source system into the enterprise data warehouse means defining how every record maps, what gets normalized, what gets validated, and what reconciliation rules apply. The output is a single source of truth that a finance director can run reports against, with three caveats and a footnote.

The Execution:

Two weeks ahead of schedule, with 99.9% data integrity, is what happens when the migration plan accounts for the boring parts up front — data mapping signed off in week one, validation rules locked before extraction, real-time communication tooling deployed across all 15 contributors, and reconciliation checks running continuously through cutover.