The business value of predictive analytics does not come from novelty. It comes from helping people in business strategy make a better decision, reduce avoidable effort, or recognize an important signal earlier. Start with the decision, not the model Predictive Analytics uses historical patterns to estimate likely future outcomes. That can be valuable in business strategy, especially around a quarterly portfolio review. The first design question should therefore be: which decision becomes faster, more accurate, or more consistent? A use case without an accountable decision owner usually remains a demo. Map the current workflow from trigger to outcome. Mark where information is missing, where people repeat manual work, and where delays create business consequences. This exposes the small number of moments where AI assistance can materially change the result. Define a narrow first use case A useful pilot has one target group, one data boundary, and one measurable outcome. For…
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