A successful analytics program should translate quickly into monetizing the data - where the data (and learnings from this data) helps the organization increase revenue, manage risks and pursue new product or service innovation. To accomplish this, what's needed from a technology perspective? The key is to remove barriers and latencies associated with analytics lifecycle steps and remove the processing constraints caused by complex big data requirements.
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