Forecasting news and blogs
The importance of being state-of-the-art in forecasting
Investing in your forecasting adds value to more ways than just more accurate forecasts. Being critical for decision making, forecasting can become a competitive strategic advantage.
Improving forecast quality in practice
By Robert Fildes Some academics in forecasting seem to think that all that is needed to improve forecasting is a better algorithm, or perhaps, more ambitiously, better data. Presenting on this topic at the recent Forecasting Centre workshop provoked me to examine what research was out there that got beyond the conventional wisdom as to how to improve accuracy.
Improving forecast quality in practice: results of a workshop
The Lancaster Centre for Forecasting organised another successful workshop on "Improving forecast quality in practice" held on 12 June 2014 at the Senate House of University of London, and free to attend for all practitioners and academics in forecasting and demand planning.
Improving and reconciling your forecasts using temporal aggregation
In most business forecasting applications, the problem usually directs the granularity of the data that we use for forecasting.
Forecasting call arrivals at a call centre
Call and service centres are an essential resource of today’s businesses, from sales and financial services to emergency response.
Can we rely on judgment to select the best forecasting model?
How does judgmental model selection perform compared to statistical model selection? Fotios Petropoulos and Nikolaos Kourentzes of the Lancaster Centre for Forecasting explain.