Gathering requirements for advanced analytics, data mining and predictive analytics is an interesting topic. It is interesting not because interviewing techniques are different for advanced analytics nor because the various techniques for helping technical teams elicit real requirements from businesspeople are different. The “how” of requirements is the same for advanced analytics as it is for anything else. It is interesting because what you need to ask about - the “what” – is unique.
Advanced analytics are valuable for one reason and one reason only – because they allow you to improve the quality of decision-making in your organization. As I noted in a previous column (“Where to Begin with Predictive Analytics”), the best kinds of decisions to improve with predictive analytics are operational decisions - decisions about a single customer or transaction.
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