Poor data quality at the most minor level can have major ramifications. Read this expert e-book to gain advice on how to make data quality a high priority in your day-to-day business operations. Discover tips on implementing internal data quality standards and how to train users on data quality best practices. Access >>>
Table of contents
- Data quality process needs all hands on deck
- Top-to-bottom data quality plan starts with selling execs on need
- Data quality training sets stage for business-user involvement
- Internal data quality standards not just a game for business users
Premium Content for Free.
More Premium Content Accessible For Free
NoSQL databases offer more flexible alternatives to mainstream relational software, particularly for big data applications. But NoSQL offerings ...
Developing a big data architecture today involves pulling together a lot of different technology pieces. The prevalence of unstructured data has ...
Spearheaded by big Internet companies such as Google and Amazon.com, big data technology has started to catch fire with large rank-and-file ...