In the current artificially propped market environment, the economic forecasts based on real economic, soft and financial indicators may fail massively.
The International Institute of Forecasters (IIF) will be hosting their annual conference in Boulder, USA in June 2018.
One of the problems with economic forecasting is that a small change in a few variables can make predictions almost impossibly complex. The maths can quickly become complicated.
Continue reading Why experts often get predictions wrong
Amazon has developed machine-learning driven models on how to forecast demand for its services and deploy infrastructure accordingly.
A growing number of companies says their forecast accuracy, service levels and inventory efficiency metrics have hit a ceiling that they just can’t get past.
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.
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”.