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DESCRIPTION:Click for Latest Location Information: http://edw2014.dataversity.net/sessionPop.cfm?confid=79&proposalid=6114\nThe inability of organizations to bring coherence and focus in the management of data quality is critically impacting business objectives. \n\n Governance efforts, when driven by committee definitions and roles assignments, are under constant pressure to demonstrate their value. \n Data quality tools, while providing tactical quality improvements, fail to answer the "so what?" question about data quality issues. \n Enterprise Architecture and Master Data Management investments, while part of the solution, are themselves challenged by poor data quality.\n\nSo what are the options? How can you bring your organization to care about data quality? How can you turn Data Quality Management into something ... manageable?\nIn this presentation, Data Quality Strategist Mario Cantin will:\n\n Present a pragmatic, quick payback, value based framework to Data Quality Management.\n Describe what's needed to make IT projects accountable of data quality.\n Outline how the data governance business case can be self-sustained when driven by data quality requirements.   \n Share success stories and key success factors. \n
DTSTART:20140428T170000
SUMMARY:Managing Data Quality!
DTEND:20140428T174959
LOCATION: See Description
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