FAQ About Enterprise Resource Planning

Data migration from legacy systems to an ERP system is a critical and complex process. ERP systems typically provide tools and methodologies to facilitate data migration. Here's how ERP handles data migration from legacy systems:

• Data Assessment: The first step is to assess the data in the legacy systems to identify the scope of migration, the data to be migrated, and any data cleansing or transformation requirements.
• Data Mapping: ERP systems require data to be mapped from the legacy system's data structure to the corresponding fields and formats in the ERP system. This mapping ensures that data is transferred accurately.
• Data Cleansing: Before migration, data in the legacy system may need to be cleansed to remove duplicates, correct errors, and standardize data formats to meet the ERP system's requirements.
• Data Extraction: Data is extracted from the legacy systems using various methods, such as database queries, CSV files, or APIs, depending on the source system's capabilities.
• Data Transformation: The extracted data may need to be transformed to match the data format and structure of the ERP system. This can involve data normalization, data enrichment, or conversion of codes and identifiers.
• Data Loading: Once the data is prepared, it is loaded into the ERP system using data import tools or APIs provided by the ERP vendor.
• Data Validation: After loading, data validation is performed to ensure that data integrity is maintained, and the migration was successful. This includes checking for missing or inconsistent data and verifying that data relationships are intact.
• Test Migrations: ERP systems often support test migrations to simulate the migration process without affecting live data. Test migrations allow organizations to identify and resolve any issues before performing the actual migration.
• Data Verification and Reconciliation: After migration, the data in the ERP system is verified and reconciled with the source data to ensure accuracy and completeness.
• Data Archiving: In some cases, historical data from the legacy system may need to be archived for compliance or reference purposes, while only relevant and recent data is migrated to the ERP system.
• Data Migration Rollback: ERP systems may provide rollback mechanisms to revert the migration if any issues are encountered during or after the migration.