Imagine this scenario: Every device we encounter in our day-to-day routine – from our refrigerators and automobiles to our water and gas meters – has embedded sensors that read real-time information and generate unfathomable amounts of data. Now take this scenario one step further. Imagine what kinds of insights we’d
Q: How would you set the target for demand planners: all products at 0.7? All at practical limit (0.5)? A: In principle, forecasts are capable of being brought to the practical limit of an RAE of 0.5. Whether it is sensible to attempt to do this for all products irrespective
Q: How important is it to recognize real trend change in noisy data? A: It is very important. In fact the job of any forecast algorithm is to predict the signal – whether it is trending or not – and to ignore the noise. Unfortuantely this is not easy to
