• The existence of an information revolution, a global economy and the increasing complexity of markets mean that organizations must record and keep large amounts of data.

• Those data, properly organized and analyzed, are an incredible potential source of knowledge.

• Most of the information will have a time dimension that makes it extremely useful for creating analyses, forecasts and dynamic decision making models.

• The information explosion makes traditional statistical tools inadequate, necessitating the creation of automatic systems for the elaboration of explanatory and predictive models.

• Explanatory and predictive models have great potential to provide solutions for the ever-increasing need to improve decision- making processes.

Bayes Forecast exists to solve the problems faced by companies in today's complex business environment, providing both consulting services based on explanatory and predictive models, and technological services based on a specially developed programming language for time series and user-friendly software for dynamic decision making.

Since 1991 Bayes has grown from its Madrid offices to include offices in Sao Paulo and Mexico City. It has consolidated a solid group of customers, brought together a highly skilled and motivated group of professionals, and built technology that gets increasingly more robust and adept at solving the problems of an increasingly diverse array of companies and markets.