There is an old adage that when it comes to system implementations rubbish data in equals rubbish data out. To guarantee maximum performance from your target system you must ensure that the accuracy and integrity of your data being migrated is of the right standard. An active data quality strategy on your next data migration can not only increase the likelihood of project success but improve stakeholder perception and adoption as well.
In this guide, Dylan Jones, founder and editor of Data Migration Pro, has pulled together his key steps to ensure a smooth delivery of data quality services on your next data migration. Find out more about:
- Data quality's importance during a data migration
- 4 key steps to taking control of your data quality in a data migration
- How removing data assumptions can lead to success
