Building on his two previous publications in Foresight on the measurement of forecastability, Steve shows how forecast quality can be objectively measured using the relative absolute error (RAE) metric and how this metric can be used to reveal the potential for improvements in forecast accuracy....

In his Commentary on the Roadmap, Ram Ganeshan emphasizes that ?CPFR is not a silver bullet for improving forecasts, but rather a set of structured processes that improve communication and coordination between supply chain partners on matching product supply and demand.? The key challenges,...

Predictive Business Analytics by Lawrence Maisel and Larry Cokins seeks to show how companies can improve their usage of analytical tools. Reviewer McKay Curtis offers a blunt assessment of the book?s value to experienced analysts. Copyright International Institute of Forecasters, 2014

For the first book (a look backward), Sohn reviews FrieedmanÕs Òhistorical overview of the pioneers of forecasting, of the economic environments in which they worked, and of tool sets and methodologies they used to generate their forecasts.Ó These fathers of forecasting include Roger Babson,...

In most business forecasting applications, the decision-making need we have directs the frequency of the data we collect (monthly, weekly, etc.) and use for forecasting. In this article, Fotios and Nikolaos introduce an approach that combines forecasts generated by modeling the different...

How can we identify our best opportunities to improve forecast accuracy? Steve Morlidge concludes his four-part Foresight series on forecast quality by offering an approach based on (a) product volumes and variability, and (b) a forecastability metric that assesses forecast accuracy in relation...

Revenue management (RM) is concerned with maximizing the revenue earned from a given set of resources. Practitioners in this field work to (1) define the precise set of products, (2) optimally set product prices, and (3) optimally control product availability. In this article, McKay and Fred...

Syntetos is asked about his introduction to the field of forecasting, his experience working in a university, and his forecasting connections with businesses. Copyright International Institute of Forecasters, 2014

Forecasting by temporal aggregation is the process of aggregating demands from higher-frequency to lower-frequency time buckets Ð for example, aggregating daily data to weekly Ð and using the aggregate time series to generate forecasts. This intuitively appealing approach will almost always...

Goodwin introduces his article with an incident in Italy when seven people (engineers, scientists, and a civil servant) were jailed following an earthquake in the city of L?Aquila in which 309 people died. At the trial it was alleged that they had failed in their duty by not properly assessing...