Running a Data Warehouse implementation and a legacy system migration simultaneously is one of the most high-risk scenarios in data management. Conflicting priorities, dual maintenance, and inconsistent business rules often lead to serious data quality issues that can undermine both projects.

In this practical webinar, we will explore strategies to maintain strong data quality governance when these two complex initiatives run in parallel. You will learn how to establish effective reconciliation processes, define clear ownership and accountability, implement golden record strategies, and build robust testing and cutover controls.

Whether you are a data quality professional, data architect, migration lead, or CDO, this session will equip you with actionable insights to reduce risk and deliver trusted data in a high-pressure, parallel-project environment.

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