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Organizations require operational data quality, in real-time or near-real-time, upon which to base their analytical and decision support systems. This is driven by the need for making better business decisions faster than ever before, using better data, and more varied sources and types of data, with more transparency in data-driven decision making and its business results. Written by Jim Harris – a thought leader with 20 years of data management experience – this paper illustrates how data-driven decision making exists at the intersection of data quality and decision quality, where quality data supports quality business decisions.
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