Need to boost forecast accuracy? Three factors have huge impact on the predictions: training, teams and tracking. It’s time to tee up!
Optimism and lateral thinking are the hallmark of a “closer” and the chief attributes of a lousy forecaster, one of the great paradoxes of sales.
Often the biggest obstacles to S&OP excellence stems from complexity: difficulty gathering data, too many meetings, a hard-to-govern process, or difficulty analyzing key data.
Big data solutions provider Lokad has introduced its second forecasting breakthrough. Quantile grids do not provide one demand forecast per product, but provide the entire probability distribution for (nearly) all possible futures.
Past research has found that publicly available data can be used to accurately forecast events such as political crises and disease outbreaks.
Kira Radinsky has garnered international recognition for her work forecasting real-world events, like disease outbreaks and riots.
It’s possible to get better at forecasting. Research offers some insights into the factors that make a difference to become a “super forecaster”.
Complex models are more popular than simple ones among researchers, forecasters, and clients. The popularity of complexity may be due to incentives.
The International Symposium on Forecasting will be held in Riverside, California in June 2015. This will be the 35th year of this conference, attracting the world’s leading forecasting researchers, practitioners, and students.
Automatic Forecasting Systems, Inc., a pioneer in forecasting and time series technology, is announcing the launch of a Cloud Based Collaborative Forecasting Solution.