Inferential statistics + Advanced analytics
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Inference model
One of the basic needs of business is to respond to "Why happens?". With ourInference Model, we merge the most powerful tools of inferential statistics with the power of advanced analytics to create models with explanatory and/or predictor variables of the business question of interest. The built model identifies that variables are more relevant andhow much each one influences; allowing to make better business decisions.
01
Construction
The application and business question of interest are diagnosed.
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The dependent variable is established
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The available internal information is identified.
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Complementary external information is collected
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All independent variables are analyzed
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The coefficients of each variable are calculated
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The best explanatory and/or predictive model is built
02
Validation
Depending on the application area and business question, the use of various model validation techniques is required.
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Analytical iterations (determine the most appropriate statistical methods)
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Selection of the most efficient set of explanatory variables
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Coefficient calibration
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Test of model quality and its explanatory power
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Adjustments by transversal or longitudinal nature.
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Among others.
03
Applications
Given its versatility and analytical power, this model has a wide range of applications in:
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Consumer goods
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Energy sector
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Production and Logistics
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Public sector
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Technology and Media
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Health and Biostatistics
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Financial services
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Many more.
The most powerful Applied Statistics tools at your service.
