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Migration Guide
Data migration is not only a technical import. It is a controlled business transition that affects stock accuracy, financial trust, approval continuity, and daily workflow confidence.
This guide outlines a proven sequence for discovery, mapping, validation, cutover, reconciliation, and stabilization.
Data discovery, source quality profiling, and ownership assignment.
Field mapping and normalization for units, SKUs, locations, and vendors.
Sandbox import validation and discrepancy resolution across teams.
Production cutover, reconciliation, and post-go-live stabilization.
Owners
Data sign-off assigned
Rules
Units and fields mapped
Checks
Sandbox import verified
Evidence
Reconciliation ready
Begin with data ownership. Every critical dataset must have an accountable business owner who validates definitions, approves exception handling, and signs off before production cutover. Without ownership clarity, even technically clean imports can create business confusion.
Normalize before importing. Resolve inconsistent SKU formats, naming collisions, unit-of-measure mismatches, and location aliases in source files. Upstream cleanup reduces downstream support load and protects reporting quality.
Use layered validation. Validate structure first, then business logic, then operational usability. A row can be syntactically valid but still fail workflow expectations if it violates approval paths, costing conventions, or stock movement assumptions.
Plan for reconciliation from the start. Define which reports, ledgers, and stock snapshots must match between source and destination systems after cutover. Reconciliation is the confidence mechanism that turns migration from hope into evidence.
Train alongside migration. Teams adopting new workflows need role-specific guidance before go-live day. Migration succeeds when data quality, process understanding, and permissions are aligned simultaneously.
Dry run completed with full dataset and measured import duration.
Permission model reviewed for all operational roles.
Rollback trigger criteria defined and communicated.
Post-go-live support owners assigned for inventory, procurement, and finance teams.
Track high-risk transactions closely during the first operating cycles.
Review exception patterns daily and refine process guidance.
Document discovered edge cases and update SOP references.
Schedule a formal health check to confirm migration objectives were achieved.
We can help your team build a migration plan with risk controls, quality gates, and executive-ready progress reporting.
The highest-risk failures are usually not import syntax errors. They are business-definition mismatches such as inconsistent SKU ownership, unclear approval authority, and unvalidated opening balances.
A controlled cutover plan should include freeze windows, role-based runbooks, rapid exception triage, and a clearly documented rollback decision path.
When these controls are prepared early, teams reduce operational downtime and move into stable adoption with far fewer corrective cycles.
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