What happens to our data during implementation?

Data migration follows a structured process:

• Data audit: Identify and cleanse source data
• Mapping: Define how old data maps to new system
• Test migrations: Multiple test cycles to validate accuracy
• Cutover migration: Final production data load during go-live
• Validation: Post-migration reconciliation and verification

Plan for 15-20% of implementation effort dedicated to data migration. Poor data quality in legacy systems is the most common migration challenge.