Innovation at the edges of the Big Data value-chain model has, on the one side, fostered sophisticated BI delivery, and on the other, led to flexible, affordable, and scalable data storage. But in the swampy middle, data delivery continues to play process-innovation catch-up, and is typically muddied with manual data pulls, costly process repetition, error-prone reporting, and unmeasurable data integrity.
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