Bayes follows a highly consultative approach involving intensive interaction with the client in order to understand their business environment and challenges. Though our team of consultants has ample experience in a wide variety of sectors, the depth of business understanding provided by the customer is invaluable. We thus form a cohesive work group with the client and become their strategic ally. Hence, we can make sure that incoming information is correctly included in the solution. We are dedicated to discovering the uniqueness of each customer and building a customized solution, shunning the use of generic models for each sector.

The methodology used at Bayes Forecast is characterized by:

 

• The idea of the scientific method as an iterative loop powered by decision theory in which statistical inference is of great importance, but subsidiary to a greater process that aims to produce explanatory models for the customer company.

• Understanding the dynamic nature of sales and other variables that are also affected by many other factors that follow a time structure, such as promotions, prices, publicity, meteorological effects, macroeconomic trends, vacations, holidays, etc.

• Successful integration between statistical inference, forecasting, and decision-making processes. These are all vital to the success of our predictive solutions.