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Optimizing data quality efforts in everyday processes
Sponsored by DataFlux Corporation
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.
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
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