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Mike Gilliland 0
Why forecasts are wrong: Untrained / inexperienced forecasters

Among the suitable-for-blog-publication-without-risking-my-job definitions of masochism is this: A willingness or tendency to subject oneself to unpleasant or trying experiences So to be a forecaster, must you also be a masochist? Few people enjoy the difficulties and degradation that go with being a forecaster, so few are willing to do it

Mike Gilliland 1
Why forecasts are wrong: Inadequate/unsound/misused software

A common mistake in bad or misused software is choosing a forecasting model based solely on the model’s “fit to history” (often referred to as “best fit” or “pick best” functionality). The software provides (or the forecaster builds) several competing models which are then evaluated against recent history. The model

Mike Gilliland 0
Flash3: Report from Analytics2011 in Orlando

Of course, forecasting the stock market is not perfectly analogous to forecasting demand for a product.  The asking price for a stock is largely "anchored" by the price of its most recent trades.  While market values may appear to randomly drift up and down, or in a general direction, we generally

Mike Gilliland 2
Flash2: Report from Analytics2011 in Orlando

In this second of three flash reports from last week's Analytics2011 conference, we hear about a favorite topic of mine -- the relationship between demand volatility and forecastability. Rob Miller of Avantor Performance Materials, on Forecastability and Demand Volatility The "comet chart," illustrating the relationship between demand volatility and forecast

Advanced Analytics
Mike Gilliland 2
Why forecasts are wrong

This week brought big news of one of the most cruel and heartless tyrants of the 21st century.  This man is known for narcissistic behavior, surrounding himself with a cadre of beautiful women, sleeping in a different place every night, picking new favorites each week, and bringing tears and untold suffering

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