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 ...

The surge in enterprise AI has fueled interest in causal analysis. In this piece, I explore the threads that bind cause and effect - and how they can be applied across a range of industry scenarios.

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 ...

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 ...