hl-acerca-bayes.jpg One of Bayes Forecast's key differentiating factors is our ability to build highly flexible and customized dynamic solutions that adapt to the increasing complexity and rapid evolution of companies and markets.
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» We make the difference
Our answers to the business challenges posed by highly dynamic markets are based on the continuous development of our technology and expertise in:

 

  • Understanding the market and transforming market information into useful knowledge.
 

The solutions provided by Bayes Forecast are based on mathematical and statistical models. 

 

These models identify and discriminate among the variables affecting the business cycle, helping us to understand and quantify their effects.

 

  • Handling massive and complex data. We are able to handle efficiently millions of data points, and our capabilities are constantly expanding to keep up with the market and provide automatic forecasts by points of sale, by products, by customers, by areas, etc.
 
  • Dealing with dynamic facts: in addition to the ever-changing dynamics of consumer behavior, our models are especially suited to adapting to the impact of calendars that change constantly.
 

Calendar effects are extremely important to understand when modeling. Different societies follow different patterns of behavior depending on the time of the year, holidays, vacation periods, etc. These calendar effects substantially impact consumption habits and may vary dramatically according to different geographical areas.

 

This is why Bayes Forecast has included in its technology an advanced concept of Time Algebra. This algorithm allows a correct treatment of the information and data analysis, adjusting forecasts based on past periods to the nuances of the forecast period's calendar.

 

  • Flexibility. There are no two identical companies. We thus customize solutions specifically for each customer, taking into account their particular needs and providing the most suitable decision-making tool.
 
  • Provide profits. Our systems are the basis of thousands of decisions that are optimal in terms of costs, taking into account the costs of both supply excesses and shortfalls.

 

  • History Since 1991 Bayes' explanatory and predictive models have empowered our clients to measure Key Performance Indicators and make science-based decisions that optimize marketing and operational ROIs. More»
  • Methodology Bayes Forecast has solid experience in identifying and quantifying the key variables that affect a company's performance, and building models that empower our clients to optimise their operational and managerial decision making. More»
  • Location Our Headquarters. More»
Solutions / The solutions implemented by Bayes Forecast help companies to understand the past, control the present and forecast the most probable outcomes of actions in order to make the best decisions.