Data Migration

Data migration is often the most underestimated part of an ERP implementation. The technical work of moving data is straightforward in concept but remarkably complex in practice. Legacy systems accumulate years of inconsistent data, duplicate records, outdated entries, and custom field formats that do not map cleanly to a new system. The migration process typically follows a structured methodology. First, you audit the source data to understand what you have: how many customers, vendors, products, and transactions exist, and what condition the data is in. Then you define mapping rules that translate the old system structure into the new one. A field called "Vendor Name" in the old system might need to split into "Company Name" and "Contact Name" in the new system. Data cleansing happens next. This is where you deduplicate records, standardize formats (like addresses and phone numbers), fill in missing required fields, and decide what historical data to bring forward versus archive. Most organizations do not need to migrate every transaction from the last 20 years. Typically, open transactions, master data (customers, vendors, products, employees), and a few years of history are sufficient. Trial migrations are essential. You run the migration in a test environment, validate the results against the source, and fix issues before touching production. Most successful projects run three or more trial migrations before the final go-live migration. Timing matters too. The final migration usually happens during a cutover weekend when both systems can be frozen, ensuring no transactions are lost between systems. Post-migration validation involves running parallel operations or reconciliation reports to confirm that balances, counts, and key records match between old and new systems.