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Data migration efforts are often complex, risky, costly and time-consuming. Data and analytics leaders responsible for this critical data management task should take four key actions to counter these issues and increase the chances of data migration success.
Table of Contents
Scope the Migration Realistically by Setting Limits and Executing in Phases
Prioritize Data Quality at the Outset and Establish Procedures to Address the Most Critical Issues
Improve the Migration Project's Quality and Productivity by Leveraging Existing Investments in Data Integration and Data Quality Tools
Engage Business Subject Matter Experts Actively in All Stages of the Migration Project
- Scope the Migration Realistically by Setting Limits and Executing in Phases
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