"I hate this part of my job -there's no way to be right." I'd had the same thought many times. I was talking to a fellow demand planner, who was under pressu... Read More...
It's very common in forecasting to aggregate data in order to increase the signal/noise ratio, and there are several papers out there regarding the significant ... Read More...
Selecting the right model plays a very important role in predictive analytics and forecasting. Use the wrong model, and you might as not have bothered at all. U... Read More...
An algorithm is a procedure or formula for solving a problem, based on conducting a sequence of finite operations or specified actions. Generally speaking, when... Read More...
How valuable is forecast accuracy benchmarking? It's always interesting to see how your competitors' are faring, but does knowing other companies' forecast accu... Read More...
Most forecasting approaches are based on the idea that a forecast can be improved if the underlying factors in the data can be identified and forecasted separat... Read More...
Even if you read data analytics news only occasionally, I’m pretty sure you’ve come across something called ‘deep learning,’ but how does it benefit demand fore... Read More...
Even though you know why predictive analytics is important to your organization, others may not. Some people in your company don’t understand it yet. That’s OK.... Read More...
Question
Dear Dr. Jain, We are currently working on improving our forecast accuracy. One of the ideas is to create an 'all other' group for the smaller cust... Read More...
Using AI to gain a competitive advantage over the next few years is not about better forecasts. What is often missed about predictive analytics is the power to ... Read More...
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