Data Digest: Data Quality, ETL Failure, Digital Transformation
How to more effectively judge data quality, handle issues with ETL, and manage digital transformation for your enterprise.
- By Lindsay Stares
- September 28, 2017
Don't assume that data quality means reaching perfection; consider whether your data is suitable for your purposes.
Read more at The Data Administration Newsletter
Tracking and testing the causes of ETL failure can help you recover faster.
Read more at Twineworks Blog
Many businesses fail when they attempt a formal digital transformation process. How can you avoid the pitfalls and be successful?
Read more at Business 2 Community
Lindsay Stares is a production editor at TDWI. You can contact her at firstname.lastname@example.org.