Illusively Complex – Effective Approach to Mixing Judgment and Statistics in Forecasting
In 1994, the IBM Micro-electronics Division, itself a fortune 100 size firm, put in place a major effort to create...
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- October 13th, 2015
In 1994, the IBM Micro-electronics Division, itself a fortune 100 size firm, put in place a major effort to create...
In one of my previous posts, I wrote about using coefficient of variation (CV) as a predictor of forecastability. In...
You have a favorite forecast accuracy metric(s) you’ve been practicing within the organization for a while, and now you think...
I saw this news article on CNN (here) about our planet's earth bigger, older cousin. Quite an interesting discovery if...
In our line of work at Arkieva, when we ask this question of business folks: What is your forecast accuracy?...
Key Points on MAPE: Mean Absolute Percent Error (MAPE) is a useful measure of forecast accuracy and should be used...
Sales is a fast-paced business; people who aren't focused on the here and now usually lose out on sales. As...
In our last post, Sujit discussed the importance of gathering input from participants as a way to mitigate biases. In...
Recently, someone forwarded a Live Science web link to me. The web page had information on how human brains are...
When businesses try to predict their future demand, they often begin with a mathematics based statistical forecast. Once this is...
Developing an accurate as possible forecast is very important in running a business. Demand planners spend countless hours trying to create...
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