The 3 Root Causes of Poor Data Quality (and how to resolve them)

In this sponsored webinar recording Richard Neale of ENTOTA presents a discussion that explores 3 of the most common root causes of poor data quality. He goes on to explain some practical measures for resolving at source and creating longer term preventative controls.

Some of the topics include: 

  • How to get started with data governance
  • Why you can’t fix data quality without standards
  • How to collaborate with the business on data quality 


Click on the video opposite and it will appear in full screen mode. 


About ENTOTA

ENTOTA is the largest specialist SAP Data Services consultancy in EMEA providing best of breed solutions in Data Migration, Data Governance, Data Integration and Data Warehousing.

Find out more: http://www.entota.com 

 

 

About the Author

I am the editor and founder of Data Quality Pro. 20+ years experience of data quality initiatives.

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