Data Migration Checklist
Checklist helps ensure a smooth and successful data migration process, minimizing risks and ensuring data integrity throughout the transition.
Data Migration Checklist
1. Pre-Migration Planning:
Define the scope and objectives of the data migration project.
Identify data sources and target systems.
Develop a project timeline with milestones and deadlines.
2. Data Assessment:
Conduct a thorough assessment of existing data quality and integrity.
Identify data formats, structures, and any necessary transformations.
Categorize data based on sensitivity and compliance requirements.
3. Data Mapping:
Create a data mapping document to map source data to target data structures.
Define how data fields will be transformed during the migration.
Ensure alignment with business rules and requirements.
4. Data Cleansing:
Identify and rectify any data quality issues (duplicates, inaccuracies, etc.).
Standardize data formats and values for consistency.
Validate data against established quality metrics.
5. Migration Strategy:
Choose a migration approach (big bang vs. phased migration).
Develop a detailed migration strategy outlining processes and tools.
Prepare rollback plans in case of migration failures.
6. Tool Selection:
Evaluate and select appropriate data migration tools or software.
Ensure the selected tools can handle data volume and complexity.
Test tools in a controlled environment before full implementation.
7. Backup and Recovery:
Create a comprehensive backup of all source data before migration.
Ensure backup systems are functional and tested.
Document recovery procedures in case of data loss during migration.
8. Data Migration Execution:
Execute the data migration according to the defined strategy.
Monitor the migration process for any issues or errors.
Document any anomalies and resolve them promptly.
9. Post-Migration Validation:
Conduct thorough validation checks to ensure data integrity and accuracy.
Compare migrated data against the original source data.
Engage stakeholders to confirm that data meets business requirements.
10. Performance Monitoring:
Monitor the performance of the new system after migration.
Assess data access and application functionality.
Identify and address any performance issues.
11. Documentation and Reporting:
Document the entire migration process, including decisions and changes.
Create a final migration report summarizing outcomes and lessons learned.
Share the documentation with relevant stakeholders for transparency.
12. Training and Support:
Provide training sessions for users on the new system and data access.
Establish support channels for users experiencing issues post-migration.
Gather user feedback for continuous improvement.
This checklist helps ensure a smooth and successful data migration process, minimizing risks and ensuring data integrity throughout the transition.
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