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
Premium Content for Free.
More Premium Content Accessible For Free
New talent management software transforming HR
Human resources departments have long been associated with rubber stamps and reams of paper forms. But new talent management software -- technology ...
HTML5 rewrites the rules on website, mobile app development
For Web and mobile application developers, advances in HTML5 mean big changes. The fifth iteration of the Hypertext Markup Language has freed ...
Determine if NoSQL databases are right for your organization
NoSQL databases offer more flexible alternatives to mainstream relational software, particularly for big data applications. But NoSQL offerings ...