TDWI Upside - Where Data Means Business

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.

 

Data Suitable for Use

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


Minimize Cost of ETL Failure

Tracking and testing the causes of ETL failure can help you recover faster.

Read more at Twineworks Blog


Digital Transformation Is Challenging

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


About the Author

Lindsay Stares is a production editor at TDWI. You can contact her at lstares@tdwi.org.


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