Getting the big picture with information quality calls for a holistic view of enterprise data. In turn, data quality requires a whole host of sound procedures, starting with data lineage, and extending through cleansing, transformation, delivery and usage. All together, these processes encompass a sound data governance strategy. Failure at any control point can result in serious errors that can undermine a organization's fundamental operations. Tune into this episode of DM Radio to learn from several data quality experts, including industry luminary Larry English, along with independent consultant Phil Simon, plus Yves de Montcheuil of Talend, Darrin Clement of Maponics and Dan Soceanu of DataFlux.
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Information Management discussion: Business Intelligence
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