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Data Migration & Cleansing

Data migration is scoped as its own dedicated workstream, not a rushed task squeezed into the final weeks before go-live — because a new ERP populated with duplicate customer records, inconsistent SKUs, or years of uncorrected errors will simply carry those problems forward at a larger scale. We extract source data from wherever it currently lives — Tally, QuickBooks, an outgoing ERP, or plain spreadsheets — and run it through a defined cleansing pass: deduplication, standardization, and validation against business rules before it's mapped into the target system.

Migration typically runs through staged dry-run loads into a test environment, with reconciliation reports comparing source and target record counts and key totals, so discrepancies are caught and resolved before the final cutover load rather than discovered after go-live.

  • Legacy data extraction from spreadsheets, accounting tools, or an outgoing ERP
  • Deduplication and data standardization
  • Field-level mapping to the target system's data model
  • Staged dry-run loads with reconciliation reporting
  • Final cutover load with validation checkpoints

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