 Bayes Forecast has a solid experience in the identification and quantification
of variables that affect the firms behavior and building models that optimise
the decision making process of management and operations.
» Methodology
We never tell our customers how to run their business. Instead, we ask them to
provide all the information necessary to understand their problems. Our team
has a vast experience in different sectors, but the information provided by the
customer is invaluable. We thus try to become part of his working group and
becoming a strategic ally. Hence, we can make sure that incoming information
is correctly included in the solution, and also that every company is unique
and must be treated as such, not using a generic model for each sector.
The methodology used at Bayes Forecast is characterized by:
- The idea of 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.
- 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, information effects, macroeconomic trends, vacations, holidays,
etc.
- The links between statistic inference, forecasting, and decision making processes,
that will assess the probability of failure of our predictive solutions.
|
|
Solutions /
The solutions implemented by Bayes Forecast help companies to understand
the past, control the current time and forecast the most probable outcomes
and take the best decisions..
|
Spanish | Portuguese | 
Home 
About Bayes Forecast > Methodology »
