Sponsored by SearchDataManagement
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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