To ensure inventory data accuracy during the transition to a new ERP system, it's essential to implement a comprehensive data migration strategy. Start with a detailed audit of existing inventory data to identify discrepancies and clean up any inaccuracies before migration. Use automated data mapping tools to facilitate accurate data transfer and minimize human error. Conduct parallel runs, comparing inventory levels between the old and new systems to validate data integrity. Provide thorough training for staff on the new system to ensure proper usage and data entry practices. Additionally, establish regular data reconciliation processes post-implementation to continuously monitor accuracy and address any issues proactively.

I can think of two key activities to focus on for inventory accuracy in ERP implementation project management: 1. Data Cleansing and Migration Validation: Ensure that all inventory data is accurate and complete before migrating it to the new ERP system. This includes removing duplicates, standardizing units of measure, and verifying inventory levels. Conduct thorough data validation tests to confirm data accuracy post-migration. 2. Pilot Testing and Mock Inventory Runs: Conduct pilot testing and mock inventory transactions to identify discrepancies and system issues. Simulate inventory operations to verify that the system accurately tracks inventory quantities and locations.

Start with a thorough data cleansing process to remove duplicates and errors from the old system. Implement a detailed mapping of inventory data fields between the old and new systems, followed by multiple rounds of data validation and testing. Conduct physical inventory counts to reconcile actual stock with system records. Engage cross-functional teams to verify data accuracy at each stage. Post-migration, implement ongoing monitoring, training for users, and error-correction procedures to maintain data integrity in the new system.