Winning with Data. Bien Frank
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Now that we're collecting all this data, we expect instant answers from it. In larger companies, the burden for answers rests on the shoulders of the data team. These scarce data analysts must process an ever-lengthening queue of work. Each request carries with it a unique set of intricacies. Perhaps the query involves a new data set, or a new type of data analysis, or a new visualization. And maybe the requesters of the data weren't quite sure what they were asking at the outset, so they revise the requested analysis, adding again to the workload and slowing processing time for everyone else. Rarely do most employees understand the complexity of their requests: the number of steps, the turnaround time, or the number of players required to answer their questions.
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