The behavioral forecasting methodology implemented at a mobile telecom operator

Improving financial forecast through customer behavior data

Many listed and non-listed companies are ruled by forecasts about their revenue and profits. But significant deviations between forecasts and reality are extremely common. These deviations can have severe consequences on a company’s stock price, its brand image, and its workforce. MIcompany discovered that these forecasts can be improved relatively easily by using more granular data and more advanced forecasting methods. Based on this breakthrough, MIcompany developed a forecasting methodology that strongly improves the financial forecasts of organizations. This article describes the first implementation of this methodology for a mobile telecom operator.

 

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