Data migration is a business project
ERP data migration is often treated like a technical import task. That is risky. The data carries business rules, historical decisions, process shortcuts, and operational assumptions. If those assumptions are not reviewed before go-live, the new system can inherit the same problems the project was meant to solve.
Common mistakes
Teams often start too late, migrate unused fields, skip ownership decisions, or validate only row counts instead of business meaning. Another common mistake is treating test migrations as technical rehearsals only. Test loads should be used to find data quality issues, missing rules, and training needs.
Build a validation plan
Each data domain needs an owner, a source of truth, cleansing rules, and acceptance criteria. Finance, inventory, purchasing, sales, production, and service teams should validate the migrated data in workflows, not just spreadsheets.
Protect go-live
A better migration plan includes trial conversions, reconciliation reports, issue tracking, fallback decisions, and a controlled freeze period. The goal is not perfect historical data. The goal is trustworthy data that supports transactions, reporting, and decisions from day one.
UNITECHCONSULT helps organizations plan ERP data cleanup, migration testing, validation, and post-go-live stabilization.