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In this handbook, readers will find quality advice on balancing manual and automated data quality processes as part of quality improvement efforts, as well as tips on building a business case for purchases of data quality tools. Readers can look forward to insider guidance on combining data quality improvement initiatives with data governance and master data management programs.  Access >>>

Table of contents

  • Data quality needs to reach a higher plane
  • Technology alone won't cure data quality ills
  • MDM, governance mix well with data quality efforts

 

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