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Regarding spend data transformation, is speed of delivery more important than accuracy?

For example, if you could have your data transformed in 1-2 weeks at a classification accuracy of 70% through the use of auto-classification techniques OR your data delivered in 4-6 weeks at a 97% classification accuracy through a combination or auto and human-based classification, which would you choose?
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