After winter ends, the city never compares snow-response forecasts to what actually happened, and the same planning misses repeat. What analytics-lifecycle practice should be added?
Select an answer to reveal the explanation.
Short Explanation
Skipping forecast-versus-actual is like practicing free throws with your eyes closed and never checking if you hit the rim. Compare what you predicted to what happened, then fix the model or the process. Learning loops beat repeating the same miss every winter.
Full Explanation
Analytics lifecycles include feedback: comparing forecasts to actuals reveals bias, variance, and process gaps. Retrospectives improve both statistical methods and operational planning assumptions. Without that loop, organizations repeat avoidable errors season after season.