Avoid Data Migration Risks with Reconciliation Checks

Data migration involves transferring data between systems, often to consolidate and improve productivity, but carries risks like time and budget overruns, often due to poor data quality and a lack of proper governance. Successful migration requires careful planning, including deciding on an approach, cataloging data, identifying stakeholders, and selecting appropriate tools for ingestion, transformation, and quality checks. The use of Soda tools for reconciliation checks helps ensure data quality by comparing source and target data, thus building trust in the newly migrated data. Running parallel systems temporarily can ease the transition, and introducing enhanced data management capabilities can incentivize adoption. Emphasizing proactive data quality measures can prevent issues, and using SodaCL reconciliation checks in staging can help identify discrepancies before moving to production, ensuring a smooth migration process.