Marketers have long been trained to think in linear terms. Historical data goes in; forecasts come out. Marketers are trained to think in linear terms. Historical data goes in; forecasts come out. The ...

International migration is difficult to predict because of uncertainties. The identification of sources of uncertainty and the measurement and modelling of uncertainties are necessary, but they are ...

It can be highly beneficial for companies to develop a forecast of the future values of some important metrics, such as demand for its product or variables that describe the economic climate. There ...

Powered by over 5 trillion data points, DATA POEM’s proprietary causal architecture revolutionizes enterprise decision-making, enabling real business transformation with over 90% forecasting precision ...

SURD, an algorithm, reveals causal links in complex systems. Applications may include forecasting climate to projecting population growth to designing efficient aircraft. Getting to the heart of ...

Noncausal time series analysis deviates from traditional causal frameworks by incorporating both past and future information to explain and predict the dynamics of complex systems. This approach is ...

Company expansion often means a sizable investment of working capital, which makes it a risk without some assurance that the expansion makes sense. Many businesses use forecasting models as one ...