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Early adopters who have successfully leveraged advanced analytics for improved execution consistently report that real-time decision-making is reducing overhead, automating tasks and freeing up capacity to make significant bottom-line improvements. To operationalize advanced analytics means going beyond basic business intelligence and providing leaders with the transparency needed to efficiently evaluate, simulate and iterate data-driven decisions. Thus equipped, leaders can quickly deploy strategies and improve time-to-value realization. Companies are then prepared to capitalize on the true potential of advanced analytics — integrating artificial intelligence (AI), machine learning (ML) and optimization into operations to transform data from an instrument for retrospective learning into a powerful tool for prescriptive, optimized operations.
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