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September 2012

Optimizing data quality efforts in everyday processes

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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