One of the key elements of advanced analytics is not just increasing dataset complexity (e.g., adding more and more source data, like back-end financial systems and card-payment data) but rather exploring the key intersections and trending of the combinations of assets. “Big data” is almost a misnomer in this context. The queries and visualizations that sit on top of slices of the underlying dataset combinations are even more valuable.
Analytics at the Core of P2P and E-Invoicing: Bridging the A/P, Finance and Procurement Gap [PRO]
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