Data quality: The key to a successful data migration
Bad data can lead to financial loss and hinder data migration projects. This e-book highlights the need to tackle data quality before migrating.
Key topics include:
- The business impact of data quality and consequences of poor data
- Strategies to address bad data, like working with migration experts, phasing out old systems, and continuous quality improvements
- How quality data can speed up migration by boosting transactional, informational, and analytical value
- And more
A proactive stance on data quality allows organizations to avoid migration failures and leverage their data fully. Read the full e-book now to learn how you can set your data migration on the right path.