ERworld 2012

Learning Objectives: What is data quality and why is it important? Data quality concepts & activities Data Quality Management (DQM) cycle Data quality awareness & requirements Data quality dimensions Case Study: Data Quality Golden Rules Data quality tools & frameworks Guiding principles & best practices
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