Question

case study dow chemicals big data in manufacturing:
colegrove and his team had gained enough insight during the pilot project to know that dow could benefit from an emi initiative. but they also understood that the success of an emi initiative would depend on many factors. colegrove wondered how he should proceed. should his team continue the pilot project and gather further insight into the specific metrics that mattered? should the team modularize the emi initiative, or roll it out on a broader scale to let the engineers play around with it and learn on their own? was this the right time to be making such demands of plant engineers, or would it be better, for a start, to keep it in r&d? or, with no immediate problems to fix, should colegrove wait until there was a problem to be solved in case emi was just the latest fad within the big data phenomenon?​

Answer 1

Answer:

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