I recently spoke to Mariya Sha, Python guru and star of the Python Simplified YouTube channel. I asked her how forecasters and Demand Planners can get start... Read More...
Have you ever heard the Chinese proverb about the farmer? I originally heard it on a podcast featuring Dan Bilzerian. The story goes: A farmer and his... Read More...
Those seeking to reduce error can look in three places to find trouble: The data that go into a forecasting model, the choice of a forecasting method, and t... Read More...
Not all items are created equal. Not all customers are not created equal. We know this to be self-evident. If this is true, why do we assume our accuracy sh... Read More...
Most forecasts and demand plans assume that market behavior will remain the same to a certain extent in the future. However, the causal factors influencing ... Read More...
Web 2.0 is a term that's been used often since the early 2000s. While the itself term is ambiguous, it has in many ways come to mean the socialization of the we... Read More...
The year is 1991. Nirvana just released Nevermind, Baywatch is the hottest show on TV, and it’s your job to gather data to begin the next month’s S&OP cycle... Read More...
Q) During the current pandemic we are facing a very difficult time in preparing forecasts. Our forecast accuracy is far below what used to be. Can you suggest a... Read More...
Q) What is forecast bias? Do you have a view on what should be considered as “best-in-class” bias? A) It simply measures the tendency to over-or under-foreca... Read More...
“Ah, my forecast accuracy was bad last month because marketing added a promotion too late...” “My forecast accuracy is fantastic; I achieved 70% for mon... Read More...
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